JP2005055363A - Radar parameter optimizer - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To obtain a radar parameter optimizer which changes the mode of beam transmission and rejudges restriction when a requirable covering area is restricted and insufficient, and finds high-efficiency beam formation. <P>SOLUTION: The optimizer is provided with a requirable covering area holding means 103, a beam formation maintaining means 102, a sample point holding means 104, a calculation means 105 for a detection sufficiency with respect to a maximum required detection distance in the direction of each sample point, an insufficient sample point extraction means 106 for outputting an optimization finish signal when no insufficient sample points are extracted, a beam formation change means 107 for improving the detection sufficiency when an insufficient sample point exists, and a beam formation optimization control means 110 which controls a change in beam formation repeatedly until the optimization finish signal is output. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a parameter optimization device for a search radar that detects a target such as an aircraft, and in particular, in the case of a phased array radar, various beam parameters are required so that the time required for detection and the required energy can be reduced. It relates to a technology that can optimize the original.

  In a conventional radar parameter optimization device, target detection in each direction starting from the radar when given external factors such as beam transmission mode, radar specifications such as frequency and gain, and atmospheric propagation loss. A possible distance is obtained, and a range that can be detected by the radar is graphed as a vertical coverage diagram (see, for example, Non-Patent Document 1).

Supervised by Takashi Yoshida, “Revised Radar Technology”, The Institute of Electronics, Information and Communication Engineers, October 1, 1996, first edition, Chapter 2 (pages 21-60)

  As described above, the conventional radar parameter optimization device obtains a coverage map based on conditions such as radar specifications, checks whether the required coverage is satisfied, and does not satisfy the required coverage Has a problem in that it requires a lot of labor since the cycle of correcting the radar specifications and recreating the coverage map is repeated.

  Also, in radar operation, there is a demand for reducing the time required for detection per coverage area and the energy required for beam transmission as much as possible, while humans are based on experience and intuition. Therefore, there is a problem that a highly efficient radar specification may not be found in terms of time required for detection and energy.

  The present invention has been made to solve the above-described problems. Sample points are arranged densely (at a predetermined interval) in a range in which a required coverage area exists starting from a radar. Check the detection status at the maximum required detection distance for the required coverage and determine the required coverage. If the constraints are not met, make appropriate changes to the beam transmission mode and determine the required coverage limitations again. It is an object of the present invention to obtain a radar parameter optimizing apparatus that can satisfy a required coverage and obtain a highly efficient beam configuration by automating the cycle processing.

  A radar parameter optimizing device according to the present invention includes a radar for detecting a target, a required coverage holding means for holding a range of a space to be detected by the radar as a required coverage, a transmission beam and a reception beam of the radar. Beam configuration holding means that holds the beam configuration that is the specification, and sample points that hold a set of sample points that are set at predetermined intervals uniformly across the range in the direction in which the required coverage area exists starting from the radar A detection sufficiency calculation means for calculating a detection sufficiency level indicating the degree of detection at the maximum required detection distance in each sample point direction for each sample point direction using the holding means and the required coverage, beam configuration and sample points as input information The sample points and the detection satisfaction level corresponding to the sample points are used as input information, and unsatisfied sample points where the detection satisfaction level does not exceed the reference value. If unsatisfied sample points are output together with the detection sufficiency, and if unsatisfied sample points are not extracted, an unsatisfied sample point extraction means for outputting an optimization end signal and beam configuration, If there are unsatisfied sample points using the satisfactory sample points and detection satisfaction as input information, the beam configuration is changed in a direction that improves the detection satisfaction, and the changes in the beam configuration are stored in the beam configuration holding means. Beam for changing the beam configuration to be reset and the beam for changing and resetting the beam configuration by the beam configuration changing unit until the optimization completion signal is output from the unsatisfied sample point extracting unit. And a configuration optimization control means.

  According to the present invention, sample points are arranged at a predetermined interval (dense) in a range in the direction in which the required coverage area exists starting from the radar, and the detection status at the maximum required detection distance in the direction of the sample point is checked. When the constraints on the area are not satisfied and the constraints are not satisfied, an appropriate change is made to the transmission mode of the beam, and the cycle process for re-determining the restrictions on the required coverage is automated. There is an effect that a radar parameter optimizing apparatus capable of obtaining a satisfying and highly efficient beam configuration can be obtained.

Embodiment 1 FIG.
Hereinafter, the first embodiment of the present invention will be described in detail with reference to the drawings.
FIG. 1 is a block diagram showing Embodiment 1 of the present invention, FIG. 2 is a waveform diagram showing pulses at a processing time for one transmission beam, and FIG. 3 is a schematic view of a beam pointing direction in a phased array radar. It is explanatory drawing shown.
FIG. 4 is an explanatory diagram showing a sample point setting example according to the first embodiment of the present invention, and shows a sample point setting example corresponding to the required coverage and beam configuration shown in FIG.
FIG. 5 is an explanatory diagram showing the process of selecting a transmission beam to be changed when there are unsatisfied sample points according to the first embodiment of the present invention, and FIG. 6 shows the number of hits according to the first embodiment of the present invention. It is a flowchart which shows an optimization process.

First, a description will be given of a radar device (search radar) to which the object of the present invention (search beam configuration optimization of search radar) is applied.
The target radar radiates radio waves in a pulsed manner, processes the received power of the radio waves reflected back by the target such as an aircraft, etc., and determines whether there is a target. The distance between the radar and the target is calculated. This type of search radar detects a target existing in a certain spatial range by temporally changing the directing directions of transmission and reception beams.

Usually, when a premise about the property of the target to be detected (such as an effective reflection area) is set, the range of the space to be detected by the radar is determined in advance, and this spatial range is called a required coverage area.
On the other hand, the position of the target space to be detected is uniquely determined by determining three values of distance, azimuth angle, and elevation angle with respect to the radar.
Therefore, the required coverage is determined by an upper limit (hereinafter referred to as “maximum detection required distance”) and a lower limit of the distance to be detected for each set of angle parameters (azimuth angle and elevation angle). Note that the restriction on the lower limit of the distance to be detected is realized by adjusting the width of the pulse to be irradiated.

In the present invention, parameters suitable for a phased array radar that electronically scans a beam among the search radars are optimized.
Beam scanning by the phased array radar is performed so as to discretely change the directing direction (beam position) of each beam.
At each transmission beam position, one or a plurality of pulses are radiated (see FIG. 2).

In FIG. 2, the horizontal axis indicates time, and the vertical axis indicates energy. As parameters relating to pulses, the pulse width is referred to as “pulse width”, the number of pulses is referred to as “hit number”, and the rise of the pulse. The time from the time point to the rising point of the next pulse is referred to as “PRT (Pulse Repetition Time)”.
Here, the product of the pulse width and the number of hits, the “pulse width hit number product”, represents the total amount of energy radiated in the direction of the transmission beam, and is an important parameter for finding the distance detectable by the radar. Value.

If a method called DBF (Digital Beam Forming) is used, simultaneous and multi-beam reception is possible.
When DBF is used, transmission is usually performed simultaneously and with multiple beams. This is realized by, for example, burst transmission in which the pencil beam is continuously irradiated while changing the directing direction, or irradiation with a single extended fan beam as the transmission beam. In this case, a plurality of reception beams correspond to one spread transmission beam. Hereinafter, one spread transmission beam is referred to as “multi-beam”.

As described above, in the phased array radar, the beam directing direction is changed discretely, but FIG. 3 schematically shows the beam directing direction.
In FIG. 3, the oval frame indicates a transmission multi-beam, and the black circle indicates a reception beam. The origin (intersection of two axes indicated by arrows) represents the front direction of the radar, and this front direction is referred to as the “bore sight direction”. . The azimuth angle and elevation angle are measured starting from the boresight direction.

FIG. 3 shows a state in which the required coverage is limited to a certain direction with respect to the azimuth angle and the elevation angle, and the beam is directed to a range in the direction in which the required coverage exists.
Note that FIG. 3 shows a case where the transmission beam is mainly a multi-beam, but all the transmission beams can be applied to a pencil beam unless otherwise specified. Depending on whether the transmission beam is a pencil beam or a multi-beam, one or a plurality of reception beams correspond to each transmission beam, and the target of the direction of the beam is detected by a combination of these transmission and reception beams. .

Hereinafter, information indicating how to configure a transmission multi-beam with respect to the reception beam (how to make the reception beam correspond to the transmission multi-beam) is referred to as a “multi-beam configuration”.
An array of beam positions for each beam is referred to as a “beam position array”.
Further, the beam specifications including the beam position array, the multi-beam configuration, the number of hits of each transmission beam, the pulse width, and the like are referred to as “beam configuration”.

Next, a radar parameter optimization device according to Embodiment 1 of the present invention will be described with reference to FIGS.
In FIG. 1, the radar parameter optimizing apparatus includes a hit number initializing unit 101 that initializes the hit number, a beam configuration holding unit 102 that holds a beam configuration, and a required coverage area holding unit 103 that holds a required coverage area. Sample point holding means 104 for holding sample points, detection sufficiency calculation means 105 for calculating detection sufficiency, unsatisfied sample point extracting means 106 for extracting unsatisfied sample points, and beam configuration for changing the beam configuration A change unit 107 and a beam configuration optimization control unit 110 that performs beam configuration optimization control are provided.

The beam configuration changing means 107 includes a change target beam selecting means 108 for selecting a change target beam, and a hit number increasing means 109 for increasing and correcting the hit number.
It should be noted that all elements included in the beam configuration other than the number of hits are given in advance and fixed.

The hit number initializing means 101 holds the restrictions imposed on the number of hits of each transmission beam, finds the minimum hit number that satisfies this restriction, and sets it in the beam configuration holding means 102.
For example, in order to suppress clutter, which is an unnecessary signal, a certain number of hits or more is required. Therefore, a lower limit value of the hit number may be set. The number of hits in the beam configuration holding means 102 may be initialized using the value as an initial value.

The sample point holding means 104 holds a set of sample points that are set uniformly and finely at predetermined intervals in the range in the direction in which the required coverage area exists starting from the radar.
FIG. 4 shows an example of setting sample points (see black circles) corresponding to the required coverage and beam configuration shown in FIG. 3. In the required coverage, a straight line with a constant azimuth and a straight line with a constant elevation angle are shown. Are drawn at fine predetermined intervals, and the intersection of each straight line is used as a sample point (see a black circle). The interval between the sample points needs to be set to a small value that can cope with a spatial change in detection probability.

In FIG. 1, the detection sufficiency calculation unit 105 includes a beam configuration held by the beam configuration holding unit 102, a required coverage held by the required coverage holding unit 103, and a sample held by the sample point holding unit 104. Using the point as input information, a detection sufficiency level representing the degree of detection at the maximum required detection distance is calculated for each sample point direction.
Needless to say, the required coverage area includes information on the maximum required detection distance (the upper limit of the distance that the radar should detect) in an arbitrary direction starting from the radar.

As a specific detection sufficiency, for example, a detection probability (probability of determining that there is a target when a target exists) is used. Note that the probability of determining “there is a target” when there is no target (in the case of only noise) is referred to as a false alarm probability.
Detection probabilities used as detection sufficiency include radar specifications (beam configuration, transmitter power, antenna gain, etc.), target specifications (effective reflection area of target, target distance from radar, target direction with beam pointing direction) If conditions such as (positional relationship), radio wave attenuation due to the atmosphere, and acceptable false alarm probability are given, it can be calculated using a radar equation or the like.

The unsatisfied sample point extraction unit 106 uses the sample point output from the detection sufficiency degree calculation unit 105 and the detection sufficiency level corresponding to the sample point as input information, and the detection sufficiency level is a reference value (set in advance). Unsatisfied sample points that do not exceed are extracted, and when unsatisfied sample points are extracted, the unsatisfied sample points and the detection sufficiency are input to the beam selection unit 108 to be changed in the beam configuration changing unit 107.
Further, when the unsatisfied sample point is not extracted, the unsatisfied sample point extracting unit 106 considers that the restriction of the required coverage is satisfied, and sends a signal indicating completion of hit number optimization to the change target beam selecting unit 108. input.

  The beam configuration changing unit 107 receives the unsatisfied sample points and detection sufficiency output from the unsatisfied sample point extracting unit 106 and the beam configuration output from the beam configuration holding unit 102 as input information. If it exists, the beam configuration (in this case, the number of hits) is changed in the direction in which the detection sufficiency is improved, and the changed content of the beam configuration is reset in the beam configuration holding means 102.

  That is, the change target beam selection means 108 in the beam configuration change means 107 uses the beam configuration, unsatisfied sample points, and detection sufficiency as input information, and if there are unsatisfied sample points, the change target number of hits is changed. The transmission beam to be selected is selected, and the selected transmission beam and the hit number corresponding to the selected transmission beam are input to the hit number increasing means 109.

Here, the change target transmission beam selection processing by the change target beam selection means 108 when there are unsatisfied sample points will be described.
For example, as shown in FIG. 5, first, the required coverage is divided with respect to the azimuth angle component and the elevation angle component and assigned to each transmission beam. Here, for each transmission beam, an area assigned to the transmission beam is referred to as a “transmission beam influence range”. In FIG. 5, the broken line frame indicates the transmission beam influence range.
If unsatisfied sample points exist, the transmission beam influence range to which the unsatisfied sample points belong is obtained, and the transmission beam corresponding to the transmission beam influence range may be set as the change target. As a result, it can be expected that the detection sufficiency of unsatisfied sample points in the vicinity thereof is improved by increasing the energy of the transmission beam to be changed.

Subsequently, the hit number increasing means 109 in the beam configuration changing means 107 uses the change target transmission beam output from the change target beam selecting means 108 and the hit number corresponding thereto as input information, and the number of hits for the change target transmission beam. Is increased and reset to the beam configuration holding means 102.
Correcting the hit count to increase in this way leads to correcting the energy to increase, and as a result, the detection sufficiency in the vicinity of the transmission beam to be changed is improved. As a method for increasing the number of hits at this time, for example, a process of increasing the number of hits by “1” may be performed.

The beam configuration optimization control unit 110 performs the beam configuration change by the beam configuration change unit 107 until an optimization end signal is output from the unsatisfied sample point extraction unit 106 (the restriction on the required coverage is satisfied). Each means 101-107 is controlled so that change and resetting are repeated.
In FIG. 1, only a part of the control line (see arrow) from the beam configuration optimization control unit 110 is shown in order to avoid complexity.

Next, the hit number optimization process according to the first embodiment of the present invention shown in FIG. 1 will be described more specifically with reference to the flowchart of FIG.
First, the hit number initialization unit 101 initializes the number of hits held by the beam configuration holding unit 102 with a sufficiently small lower limit value (step ST601).
Subsequently, the detection sufficiency calculation means 105 calculates the detection sufficiency at the maximum required detection distance of each sample point (step ST602).
Next, the unsatisfied sample point extraction means 106 receives the calculation result of step ST602 and determines the presence or absence of unsatisfied sample points (step ST603).

If it is determined in step ST603 that there are no unsatisfied sample points (that is, NO), it is considered that the requirement coverage limit is satisfied, and the hit number optimization processing routine shown in FIG. 6 is terminated. To do.
On the other hand, when it is determined in step ST603 that there is an unsatisfied sample point (that is, YES), the change target beam selection unit 108 selects a transmission beam to be hit number change target corresponding to the unsatisfied sample point. The selected transmission beam and the number of hits corresponding to the selected transmission beam are input to hit number increasing means 109 (step ST604).

Subsequently, the hit number increasing means 109 increases the hit number for the selected transmission beam to be changed (step ST605), and returns to the detection sufficiency calculation process (step ST602).
The processing loop of steps ST602 to ST605 is repeated under the control of the beam configuration optimization control unit 110 until it is determined in step ST603 that there are no unsatisfied sample points (required coverage restriction is satisfied). Executed.

Through the above processing, a combination of hit numbers that satisfies the required coverage is obtained.
At this time, the number of hits is gradually increased with a sufficiently small lower limit as an initial value, and as a result, it is expected that a combination of the minimum required number of hits with a small detection time and required energy can be obtained. Is done.
In this way, by setting the number of hits to a necessary minimum value, the time required for detection and the energy to be irradiated by the radar can be suppressed.
In addition, since the restriction check process of the required coverage is automatically performed by the sample points (see FIG. 4) set at fine predetermined intervals in the range in the direction in which the required coverage exists from the radar, the conventional apparatus In this way, it is not necessary to create a coverage diagram and visually confirm it, and the reliability of the parameter optimization process is improved.
If the constraint is not satisfied, the beam configuration change processing loop (see FIG. 6) is automatically repeated, so that a beam configuration that satisfies the required coverage can be obtained automatically.

Embodiment 2. FIG.
In the first embodiment (see FIG. 1), the number of hits is optimized, but the pulse width and the number of hits may be optimized.
FIG. 7 is a block diagram showing Embodiment 2 of the present invention in which the pulse width and the number of hits are optimized. The same parts as those described above (see FIG. 1) are denoted by the same reference numerals as those described above, or Is followed by “A” and detailed description is omitted.
FIG. 8 is an explanatory diagram schematically showing a restriction state of the required coverage, and FIG. 9 is a flowchart showing optimization processing of the pulse width and the hit number according to the second embodiment of the present invention.

In FIG. 7, the pulse width hit number product initializing means 700 is provided in place of the hit number initializing means 101, and the configuration in the beam configuration changing means 107A is different from the above (see FIG. 1). The operations other than the pulse width hit number product initializing means 700 and the beam configuration changing means 107A are the same as described above.
In this case, it is assumed that all elements included in the beam configuration held by the beam configuration holding means 102A are given in advance and fixed except for the pulse width and the number of hits.

The pulse width hit number product initialization means 700 is constituted by the transmission beam directivity direction satisfaction condition calculation means 701, initializes the pulse width hit number product of each transmission beam, and sets it in the beam configuration holding means 102A.
That is, the transmission beam directivity direction satisfaction condition calculation unit 701 uses the required coverage output from the required coverage holding unit 103A as input information, and the detection sufficiency at the maximum required detection distance in the directivity direction of each transmission beam is sufficient. A pulse width hit number product that becomes a reference value that is a boundary with unsatisfied is obtained and set in the beam configuration holding means 102A.
At the time of mounting, there is no need to newly provide a recording area for the product of the pulse width hit number in the beam configuration holding means 102A. For example, “1” is stored in the recording area for the hit number and the pulse width The product of the pulse width hits may be stored in the recording area.

The pulse width hit number product initialization unit 700 obtains a pulse width hit number product that satisfies the restriction of the required coverage in the direction of the transmission beam.
On the other hand, the transmission beam has the largest gain in the direction of the transmission beam, and the gain decreases as the transmission beam deviates from the direction. Therefore, the pulse width hit number product obtained by the transmission beam directivity direction satisfaction condition calculation unit 701 satisfies the restriction of the required coverage in the directivity direction of the transmission beam, but does not satisfy the restriction in other directions.

FIG. 8 schematically shows a satisfaction state of the constraint, and the constraint is satisfied at the apex of the shape of the transmission beam at the maximum required detection distance.
In this way, by starting the optimization with the product of the number of pulse width hits satisfying the required coverage restriction only in the direction of the transmission beam as the initial state, it is possible to avoid the restriction separately determined for the pulse width and the number of hits. Since the number of optimization loops can be reduced compared with the case where optimization is started with a sufficiently small lower limit value as an initial value, optimization of the pulse width and the number of hits can be realized in a short processing time.

The beam configuration changing unit 107A includes a change target beam selecting unit 108A, a pulse width hit number product increasing unit 708, and a pulse width hit number product decomposing unit 709.
The change target beam selecting unit 108A receives unsatisfied sample points and detection sufficiency output from the unsatisfied sample point extracting unit 106 and the beam configuration output from the beam configuration holding unit 102A as input information. Is selected, the transmission beam to be changed in the pulse width hit number product is selected and input to the pulse width hit number product increasing means 708 together with the corresponding pulse width hit number product.
For example, the method described in the first embodiment can be applied as a method for selecting a transmission beam to be changed when there are unsatisfied sample points.

The pulse width hit number product increasing means 708 uses the change target transmission beam and the corresponding pulse width hit number product output from the change target beam selecting means 108A as input information, and calculates the pulse width hit number product corresponding to the change target transmission beam. Output with increased correction.
As described above, increasing the pulse width hit number product leads to increasing the energy in the same manner as described above (in the case of increasing the hit number), and as a result, detection sufficiency in the vicinity of the beam to be changed. Will be improved.
As a method for increasing the pulse width hit number product, for example, a process such as multiplying the pulse width hit number product by a number larger than “1” may be performed.

  The pulse width hit number product decomposing means 709 holds information relating to the constraints that the pulse width and the hit number must satisfy, and the pulse width hit number product output from the pulse width hit number product increasing means 708 is used as the input information. Are satisfied, the number of hits is suppressed as small as possible, and the pulse width hit number product is decomposed into pulse width and hit number so as to reduce the pulse width hit number product and reset to the beam configuration holding means 102A.

Note that the specific constraints to be satisfied by the pulse width and the number of hits depend on individual radars. For example, the constraints on the upper and lower limits of the pulse width, the duty ratio (value obtained by dividing the pulse width by the PRT) The upper limit of the number of hits, the limit that the number of hits is an integer, the limit about the lower limit of the number of hits, and the like.
Here, the reason why the number of hits is decomposed so as to be as small as possible is to shorten the time required for detection. In general, when the above-described decomposition is performed, the product of the pulse width and the number of hits increases.

Next, the pulse width and hit count optimization process according to the second embodiment of the present invention shown in FIG. 7 will be specifically described with reference to the flowchart of FIG.
In FIG. 9, steps ST901 to 905 respectively correspond to steps ST601 to 605 described above (see FIG. 6).
First, the pulse width hit number product initializing means 700 initializes the pulse width hit number product held by the beam configuration holding means 102A (step ST901).
Subsequently, the detection sufficiency calculation means 105 calculates the detection sufficiency at the maximum required detection distance of each sample point (step ST902).

Next, the unsatisfied sample point extracting means 106 receives the calculation result of step ST902 and determines the presence or absence of unsatisfied sample points (step ST903).
If it is determined in step ST903 that there are no unsatisfied sample points (that is, NO), it is considered that the required coverage restriction is satisfied, and the pulse width and hit count optimization processing routine of FIG. 9 is executed. finish.
On the other hand, if it is determined in step ST903 that there is an unsatisfied sample point (that is, YES), the change target beam selection unit 108A transmits the pulse width hit number product corresponding to the unsatisfied sample point as a change target. A beam is selected (step ST904).

Subsequently, the pulse width hit number product increasing unit 708 increases and corrects the pulse width hit number product for the selected transmission beam to be changed (step ST905), and the pulse width hit number product decomposing unit 709 further determines the pulse width and The beam configuration holding means 102A is obtained by decomposing the pulse width hit number product into a pulse width and hit number so that the hit number is satisfied and the hit number is suppressed as small as possible and the pulse width hit number product is not reduced. (Step ST906).
Thereafter, the process returns to the detection satisfaction degree calculation process (step ST902).
The processing loop of steps ST902 to ST906 is repeatedly executed until it is determined in step ST903 that there are no unsatisfied sample points (that is, NO).

Through the above processing, a combination of the pulse width and the hit number that satisfies the required coverage is obtained.
At this time, the pulse width hit number product is increased little by little with the initial value being a value that does not satisfy the requirements of the required coverage, and as a result, the minimum necessary pulse width and hit number can be obtained. There is expected. As described above, since the pulse width and the number of hits are small, the time required for detection and the energy to be emitted by the radar are also suppressed.
Therefore, the pulse width hit number product is corrected to be increased little by little using an appropriately small lower limit as an initial value, thereby obtaining a combination of a pulse width and hit number with a small detection time and a required energy.

Embodiment 3 FIG.
In the first embodiment (see FIG. 1), only the change target beam selecting means 108 and the hit number increasing means 109 are provided in the beam configuration changing means 107. However, the change target beam selecting means 108 and the hit number increasing means 109 are provided. The change target beam narrowing means may be inserted between 109 and 109.
FIG. 10 is a block diagram showing Embodiment 3 of the present invention in which a beam target changing means 1001 is added in the beam configuration changing means 107B. The same reference numerals as those described above (refer to FIG. 1) are used for the same parts. Or a “B” after the reference numeral, and detailed description thereof is omitted.
Moreover, FIG. 11 is explanatory drawing which shows the participating state of the group which consists of four transmission beams AD in Embodiment 3 of this invention.

10 is different from the above (FIG. 1) only in that the beam configuration changing unit 107B includes a change target beam narrowing unit 1001.
The change target beam narrowing means 1001 is inserted between the change target beam selecting means 108 and the hit number increasing means 109B.
In FIG. 10, the operations other than the change target beam narrowing unit 1001 and the hit number increasing unit 109B in the beam configuration changing unit 107B are the same as described above.

In this case, it is assumed that the target radar has a feature that a group of a plurality of transmission beams is involved in calculation of detection sufficiency, and the beam configuration includes group information of transmission beams.
This is equivalent to, for example, the case where a signal processing method is used to calculate the detection sufficiency by examining the correlation of information obtained from a plurality of adjacent transmission beams and performing statistical processing on a spatial target. Then, a plurality of adjacent transmission beams form a group.

The change target beam narrowing means 1001 narrows down to a smaller number of transmission beams when a plurality of transmission beams exist in the same transmission beam group among the change target transmission beams output from the change target beam selection means 108. , Input to the hit number increasing means 109B.
At this time, the transmission beam narrowing process is executed as follows, for example.
First, the change target beam selection unit 108 takes the correspondence between the unsatisfied sample points and the transmission beam and inputs the change target beam narrowing unit 1001 as described above.
The change target beam narrowing means 1001 extracts, for each transmission beam, the one with the lowest detection sufficiency (with the minimum detection sufficiency) from the corresponding unsatisfied sample points, and the minimum detection sufficiency for each transmission beam group. A transmission beam is narrowed down by selecting a transmission beam with a low degree of priority.
Hereinafter, the hit number increasing unit 109B executes the hit number increasing process using the change target transmission beam output from the change target beam narrowing unit 1001 as the input information.

Next, specific effects obtained by the third embodiment of the present invention shown in FIG. 10 will be described with reference to FIG.
Consider the case where a group of four transmission beams A, B, C, and D is involved in detection sufficiency calculation as shown in FIG.
Also, it is assumed that there are sample points that are slightly unsatisfied within the respective influence ranges of these transmission beams A to D.

At this time, since the four transmission beams A to D are involved in the calculation of detection sufficiency, if the hit count is corrected for only one of the transmission beams A to D, all unsatisfied values are calculated. The sample points may become satisfied.
In this case, if all the hit numbers of the four transmission beams A to D are increased and corrected in accordance with the processing procedure of the first embodiment, it is expected that the restriction of the required coverage is satisfied, but extra energy is required. In addition, a combination of the number of hits that requires a longer detection time is required.

On the other hand, if the transmission beam to be changed is narrowed down to any one of A to D as in the third embodiment of the present invention, the combination of the number of hits that is efficient in terms of energy and time required for detection Will be obtained.
That is, a highly accurate optimization result can be obtained by narrowing down the transmission beam to be changed based on transmission beam group information and increasing the number of hits for the narrowed transmission beam.
Although the case where the hit number optimization is executed has been described here, the present invention can be similarly applied to the case where the pulse width and the number of hits are optimized, and equivalent effects are obtained.

Embodiment 4 FIG.
Although not specifically described in the first embodiment (see FIG. 1), in order to collectively process a plurality of reception beams, transmission is performed using a multi-beam that covers the plurality of reception beams and the DBF method is used. You may apply to the radar which performs reception.
FIG. 12 is a block diagram showing Embodiment 4 of the present invention applied to a multi-beam. Components similar to those described above (see FIG. 1) are denoted by the same reference numerals as those described above or “C” after the reference numerals. "And a detailed description is omitted.

FIG. 13 is a flowchart showing multi-beam configuration optimization processing according to Embodiment 4 of the present invention.
FIGS. 14 and 15 are explanatory diagrams specifically showing initialization processing of a multi-beam configuration and generation processing of a new multi-beam configuration according to the fourth embodiment of the present invention, and FIG. 14 is the same as FIG. It corresponds.

  12, in addition to the hit number optimizing means 1200 having the same configuration as that described above (FIG. 1), a multi-beam configuration initializing means 1201, a multi-beam configuration holding means 1202, a neighboring multi-beam configuration setting means 1203, Required detection time calculation means 1204, required detection time holding means 1205, minimum detection required time multi-beam configuration extraction means 1206, end determination means 1207, and multi-beam configuration optimization control means 1208 are provided.

However, in this case, the target radar is limited to one that performs transmission using a multi-beam that covers a plurality of reception beams, and performs reception using the DBF method. The transmission beam may include a normal pencil beam that covers one reception beam.
The beam configuration held by the beam configuration holding means 102C includes a multi-beam configuration. Among the elements included in the beam configuration, all but the hit count and the multi-beam configuration are given and fixed in advance. Shall.

The multi-beam configuration initialization unit 1201 initializes the multi-beam configuration and sets the contents of the initialized multi-beam configuration in the multi-beam configuration holding unit 1202.
The multi-beam configuration holding unit 1202 holds the multi-beam configuration and sets the content of the initialized multi-beam configuration in the beam configuration holding unit 102C when the multi-beam configuration initialization unit 1201 initializes the multi-beam configuration. .

  The neighboring multi-beam configuration setting unit 1203 generates one or a plurality of new multi-beam configurations similar to the multi-beam configuration held by the multi-beam configuration holding unit 1202, and holds the contents of the new multi-beam configuration. Set to means 102C.

The required detection time calculation unit 1204 sets the beam configuration held in the beam configuration holding unit 102C when a signal indicating completion of hit number optimization is output from the unsatisfied sample point extraction unit 106 in the hit number optimization unit 1200. Based on this, the required time for detection (time required for detecting the required coverage area once) is calculated, and the required time for detection and the multi-beam configuration corresponding to the required time for detection are output.
The required detection time holding unit 1205 holds a set of the multi-beam configuration and the required detection time corresponding to the multi-beam configuration, which is output from the detection required time calculation unit 1204.

The minimum detection required time multi-beam configuration extraction unit 1206 detects all the multi-beam configurations set by the multi-beam configuration holding unit 1202 and the neighboring multi-beam configuration setting unit 1203 after the optimization of the number of hits of the multi-beam configuration is completed. When the required detection time is recorded in the required time holding means 1205, the multi-beam configuration corresponding to the minimum required detection time is extracted and reset in the multi-beam configuration holding means 1202.
However, the processing is terminated when a predetermined termination condition is satisfied. As a condition for terminating the processing at this time, for example, the detection time required for the multi-beam configuration extracted by the minimum detection required time multi-beam configuration extraction means 1206 is the source of the new multi-beam configuration in the neighboring multi-beam configuration setting means 1203. If the time required for detection of the multi-beam configuration is equal to or longer than this, it is considered that a better multi-beam configuration cannot be obtained, and an end condition is set.

As will be described later, the end determination unit 1207 uses the minimum detection required time multi-beam configuration extraction unit 1206 to detect the multi-beam configuration detection time based on the new multi-beam configuration in the neighboring multi-beam configuration setting unit 1203. If it is longer than the required time for detection of the multi-beam configuration, it is assumed that the end condition is satisfied, and the optimization process of the multi-beam configuration is ended.
In FIG. 12, the reason why the end determination unit 1207 is provided is that the hit count optimization end signal is output a plurality of times from the unsatisfied sample point extraction unit 106. This is to perform a typical end determination.
The multi-beam configuration optimization control unit 1208 controls each unit 1200 to 1207 so that the number of hits is optimized independently for each multi-beam configuration setting in the beam configuration holding unit 102C.

The multi-beam configuration and hit count optimization processing according to the fourth embodiment of the present invention shown in FIG. 12 will be specifically described below with reference to the flowchart of FIG.
First, the multi-beam configuration initializing unit 1201 initializes the multi-beam configuration and sets it in the multi-beam configuration holding unit 1202 (step ST1301).
Subsequently, the neighboring multi-beam configuration setting unit 1203 generates a new multi-beam configuration similar to the multi-beam configuration set in the multi-beam configuration holding unit 1202 (step ST1302).

Next, hit number optimizing means 1200 independently optimizes the hit number for each of the multi-beam configuration initialized in step ST1301 and the multi-beam configuration newly generated in step ST1302 ( Step ST1303).
The hit number optimizing process by the hit number optimizing unit 1200 is as shown in the flowchart of FIG.

Subsequently, the required detection time calculating unit 1204 calculates the required detection time for each beam configuration after the hit number optimization is completed, and causes the required detection time holding unit 1205 to hold it (step ST1304).
Further, the minimum detection required time multi-beam configuration extracting means 1206 extracts the minimum required time from the detection required time obtained in step ST1304 (ST1305).

Finally, the end determination means 1207 determines that the time required for detection of the multi-beam configuration extracted in step ST1305 is equal to or longer than the time required for detection of the multi-beam configuration based on the new multi-beam configuration in the neighboring multi-beam configuration setting means 1203. Is determined (step ST1306).
If it is determined in step ST1306 that the time required for detection of the extracted multi-beam configuration is equal to or longer than the time required for detection of the original multi-beam configuration (that is, YES), the multi-beam configuration optimization processing routine of FIG. Exit.

  On the other hand, if it is determined in step ST1306 that the time required for detection of the extracted multi-beam configuration is shorter than the time required for detection of the original multi-beam configuration (that is, NO), the multi-beam configuration corresponding to the minimum required time for detection is determined. Returning to the processing for generating a nearby multi-beam configuration (step ST1302), the above processing steps ST1303 to ST1306 are repeated.

Here, with reference to FIG. 14 and FIG. 15, each process of initialization of a multi-beam configuration and generation of a new multi-beam configuration according to the fourth embodiment of the present invention will be described with a specific example. In order to simplify the description, the beam configuration as shown in FIG. 14 is assumed.
In FIG. 14, the transmission multibeam is set so as to correspond to a set of reception beams that are continuous in the azimuth direction, and the combination of the multibeams at each elevation angle is the same (in the case of FIG. 14, 2 from the left). 1, 3, 2, and 2 sets of reception beams, one transmission multi-beam corresponds to each other).

FIG. 15 shows a specific example of initialization of a multi-beam configuration and generation of a new multi-beam configuration. Of the beam configurations shown in FIG. 14, only the multi-beam configuration at one elevation angle is extracted and described. (As described above, the combination of multi-beams at each elevation angle is the same).
In FIG. 15, first, a state where all the transmission multi-beams are pencil beams is set as an initial state. Here, for convenience, the pencil beam is considered to be a multi-beam that covers one reception beam.

Subsequently, a process of merging two adjacent multi-beams into one multi-beam is considered, and a new multi-beam configuration is generated by applying this process.
In the case of FIG. 15, since there are nine sets of adjacent multi-beams in the initial state, nine new multi-beam configurations A, B, C, D, E, F, G, H, and I are obtained. become.

In this way, the optimization of the number of hits is performed independently for the initial state and the nine newly generated multi-beam configurations A to I.
At this time, if the time required for detection corresponding to the multi-beam configuration in the initial state is the minimum, the processing ends at that point.
On the other hand, as shown in FIG. 15, for example, if the time required for detection corresponding to the multi-beam configuration C is the minimum, the multi-beam configuration C is merged with adjacent multi-beams, as shown in the frame indicated by the arrow, A new multi-beam configuration will be generated.
Thereafter, similarly, the optimization process of the multi-beam configuration proceeds.

In this way, by changing the multi-beam configuration in such a direction that the hit detection time optimized for the number of hits is reduced, a high-efficiency multi-beam configuration and the number of hits can be obtained.
Here, the case of performing the optimization of the multi-beam configuration and the number of hits has been described. However, in the case of optimizing the multi-beam configuration, the pulse width, and the number of hits, the hit number optimization portion is set to the pulse width and the number of hits. By replacing with optimization of the number of hits, the same can be realized.

Embodiment 5 FIG.
Although not described in detail in the first embodiment (see FIG. 1), the beam position arrangement may be optimized.
FIG. 16 is a block diagram showing the fifth embodiment of the present invention in which the beam position arrangement is optimized. The same parts as those described above (see FIGS. 1 and 12) are denoted by the same reference numerals as described above, or A “D” is appended to the reference numeral and the detailed description is omitted.

FIG. 17 is a flowchart showing beam position optimization processing according to Embodiment 5 of the present invention.
FIG. 18 is an explanatory diagram showing beam position array generation processing and beam position array extraction processing according to Embodiment 5 of the present invention, and corresponds to the above-described FIGS.

16, in addition to the hit number optimizing means 1200D having the same configuration as that described above (FIG. 1), first and second beam position setting means (hereinafter simply referred to as “beam position setting means”) 1601, 1602; , Beam position holding means 1603, intermediate beam position setting means 1604, detection required time calculation means 1204D, detection required time holding means 1205D, beam position range extraction means 1606, end determination means 1207D, and beam position optimization. Control means 1608 is provided.
The operation of the hit number optimization means 1200D is the same as described above.
However, in the hit number optimizing unit 1200D, among the elements included in the beam configuration held in the beam configuration holding unit 102D, all elements other than the hit number and the beam position are given and fixed in advance. And

The beam position setting means 1601 and 1602 set different beam position arrangements in the beam position holding means 1603 in accordance with a user instruction.
The beam position holding means 1603 holds the two types of beam position arrays set by the beam position setting means 1601 and 1602, and holds the initialized contents at the time of initialization by the beam position setting means 1601 and 1602. Set to means 102D.
The intermediate beam position setting unit 1604 internally divides the beam positions of the corresponding beams with respect to the two types of beam position arrays held by the beam position holding unit 1603 by a predetermined internal ratio, thereby one or more beams. A new position array is generated, and the contents of the new beam position array are set in the beam configuration holding means 102D.

The required detection time calculation unit 1204D calculates the required detection time from the beam configuration held in the beam configuration holding unit 102D when the signal indicating completion of hit count optimization is output from the unsatisfied sample point extraction unit 106, and the detection time is calculated. The required time and the beam position array corresponding to the required detection time are output.
The required detection time holding unit 1205D holds a set of the beam position array and the required detection time corresponding to the beam position array, which is output from the detection required time calculation unit 1204D.

The beam position range extraction unit 1606 detects the required time for detection when the required detection times for all the beam position arrays set by the beam position holding unit 1603 and the intermediate beam position setting unit 1604 are recorded in the required detection time holding unit 1205D. The range of the internal ratio relating to the beam position array that is small is obtained, and two types of beam position arrays corresponding to the upper limit and the lower limit of this range are reset in the beam position holding means 1603.
However, the processing is terminated when a predetermined termination condition is satisfied. As an end condition of the processing at this time, for example, the similarity between two types of beam position arrays extracted by the beam position range extraction unit 1606 is obtained, and when the similarity is larger than a predetermined value, For example, it is considered that the optimization process is almost converged and is set as an end condition.

As will be described later, if the similarity between the two types of beam position arrays extracted by the beam position range extraction unit 1606 is within a predetermined similarity (sufficiently similar), the end determination unit 1207D considers that the end condition is satisfied. Then, the beam position optimization process ends.
The beam position optimization control unit 1608 controls each of the units 1200D, 1204D, 1205D, and 1601-1606 so that hit number optimization is performed independently for each beam position array setting to the beam configuration holding unit 102D. Control.

Hereinafter, the beam position arrangement process and the hit number optimization process according to the fifth embodiment of the present invention shown in FIG. 16 will be specifically described with reference to the flowchart of FIG.
In FIG. 17, steps ST1703 and ST1704 respectively correspond to steps ST1303 and ST1304 described above (see FIG. 13).
First, the beam position setting means 1601 and 1602 set two types of beam position arrangements in the beam position holding means 1603 (step ST1701).
Subsequently, the intermediate beam position setting unit 1604 generates a new beam position array based on the two types of beam position arrays set in the beam position holding unit 1603 (step ST1702).

Next, hit number optimization means 1200D independently performs hit number optimization for each of the beam position array initialized in step ST1701 and the beam position array newly generated in step ST1702 (step ST1703).
The hit number optimization process by the hit number optimization unit 1200D is as shown in the flowchart of FIG.

Subsequently, the required detection time calculation unit 1204D calculates the required detection time for each beam configuration after the hit number optimization is completed, and causes the required detection time holding unit 1205D to hold it (step ST1704).
Further, the beam position range extracting means 1606 obtains an internal ratio range relating to the beam position array so that the detection required time obtained in step ST1704 is small, and two types of beam position arrays corresponding to the upper limit and the lower limit of this range. Is reset to the beam position holding means 1603 (step ST1705).

Finally, the end determination unit 1207D obtains the similarity between the two types of beam position arrays extracted by the beam position range extraction unit 1606, and the two types of beam position arrays are sufficiently similar (within a predetermined similarity). Whether or not (step ST1706).
If it is determined in step ST1706 that the beam position arrays are sufficiently similar (that is, YES), the processing routine of FIG. 17 ends.
On the other hand, if it is determined that the beam position arrays are not similar (that is, NO), a process for generating a new beam position array for the two types of beam position arrays extracted by the beam position range extracting unit 1606 is performed. Returning to (step ST1702), the processing steps ST1703 to ST1706 are repeated.

Here, with reference to FIG. 18, a new beam position array generation process by the intermediate beam position setting unit 1604 and a beam position array extraction process by the beam position range extraction unit 1606 will be described.
For example, assuming that the two types of beam position arrays shown in FIG. 18 are held by the beam position holding unit 1603, it is possible to consider corresponding transmit beams and corresponding receive beams in these beam position arrays.
Here, regarding the corresponding beam, if the beam position in the first beam position array is Pi and the beam position in the second beam position array is Qi, a new beam is obtained as in the following equation (1). A position Ri can be generated.

  Ri = (1-a) × Pi + a × Qi (1)

However, in Equation (1), the value of the coefficient a is set within the range of 0 ≦ a ≦ 1.
At this time, the new beam position Ri is a position internally divided by “a: (1-a)” between the beam positions Pi and Qi in each beam position array, and the coefficient a is internally divided. Called the ratio.

For all the corresponding beam positions, a new beam position array is obtained by equally dividing between the beam positions, and further, this internal dividing process is executed by changing the value of the coefficient a. Thus, a plurality of types of beam position arrays can be obtained.
The intermediate beam position setting unit 1604 generates a new beam position array based on the above procedure. As a value of the coefficient a, when a = 0 or a = 1, it coincides with one of the original beam position arrangement.

For example, the intermediate beam position setting unit 1604 generates one beam position array using the internal division ratio a = 0.5.
At this time, for the three types of beam position arrays including the original two types of beam position arrays in the generated beam position array, the time required for detection of the beam configuration after the hit number optimization is performed, respectively, is expressed as T (0), T (0.5), and T (1). In addition, the value in the parenthesis of the detection required time T represents the internal division ratio.

For example, the time required for each detection
T (0) <T (1) and
T (0.5) <T (1)
If the relationship is satisfied, it is assumed that the time required for detection is small when the internal ratio a is in the range of 0 to 0.5, and the beam position array corresponding to a = 0 and a = 0.5. Is reset to the beam position holding means 1603.

Similarly, the time required for each detection is
T (0.5) <T (0) and
T (1) <T (0)
If the above relationship is satisfied, the beam position array corresponding to a = 0.5 and a = 1 is reset in the beam position holding unit 1603.

In addition, each detection time is
T (0) <T (0.5) and
T (1) <T (0.5) and
T (0) <T (1)
If the above relationship is satisfied, the beam position array corresponding to a = 0 and a = 0.5 is reset in the beam position holding means 1603.

Thus, when two types of beam position arrays are reset in the beam position holding means 1603, new beam position arrays are again generated from these beam position arrays by internal division processing, and the same processing proceeds thereafter. To do.
In this way, by narrowing down the range of the beam position arrangement in such a direction that the detection time required for the hit number optimization is reduced, a high-efficiency beam position arrangement and the number of hits can be obtained.
In this example, the optimization of the beam position and the number of hits has been described. However, when optimizing the beam position, the pulse width, and the number of hits, the hit number optimization part is also divided into the pulse width and the number of hits. It can be realized in the same way by replacing with the above optimization.

Embodiment 6 FIG.
In the first embodiment (see FIG. 1), the sample point holding unit 104 is directly associated with the detection sufficiency calculation unit 105. However, between the sample point holding unit 104 and the detection sufficiency calculation unit 105, FIG. In addition, sample point narrowing means may be provided.
FIG. 19 is a block diagram showing Embodiment 6 of the present invention in which sample point narrowing means is provided. Components similar to those described above (see FIG. 1) are denoted by the same reference numerals as those described above or after the reference numerals. Detailed description is omitted with “E”.
FIG. 20 is an explanatory diagram showing a sample point narrowing process according to the sixth embodiment of the present invention, and corresponds to FIG. FIG. 21 is a flowchart showing beam configuration optimization processing according to Embodiment 6 of the present invention.

19 is different from the above in that sample point narrowing means 1901 and sample point narrowing control means 1902 are added.
The sample point narrowing means 1901 is inserted between the sample point holding means 104 and the detection sufficiency calculation means 105E, and is one of the sample points output from the sample point holding means 104 under the control of the sample point narrowing control means 1902. And the remaining sample points are input to the detection sufficiency calculation means 105E.
The detection sufficiency calculation means 105E executes processing using the sample points narrowed down by the sample point narrowing means 1901 as input information without directly taking in the sample points from the sample point holding means 104.
In this case, the sample point narrowing control unit 1902 includes a function of determining whether or not the end condition of the beam configuration optimization process is satisfied, as will be described later.

Here, specific sample point narrowing processing by the sample point narrowing means 1901 will be described.
First, considering the sample points shown in FIG. 4, the elevation angle components 0, 1, 2, 3,... Are assigned to the elevation angle components of the sample points in order from the lowest elevation angle.
Subsequently, for example, when only the sample points 0, 3, 6, 9,... Of the elevation number that can be divided by “3” are extracted, the sample points are narrowed down to the sample points shown in FIG. Entered. Therefore, the detection sufficiency calculation means 105E executes processing such as detection sufficiency calculation only for the sample points shown in FIG.

In this way, by narrowing down the sample points, the processing time by the detection sufficiency calculation means 105E is reduced, so that optimization is required especially when processing such as detection sufficiency calculation at each sample point requires a long time. Processing can be speeded up.
Further, the sample point narrowing control means 1902 for instructing how to narrow down by the sample point narrowing means 1901 first instructs to increase the number of sample points to be deleted, and the hit number optimization from the unsatisfied sample point extracting means 106 is completed. When the signal is output, an instruction is given to reduce and correct the deleted portion of the sample point.

That is, according to the radar parameter optimizing apparatus according to the sixth embodiment of the present invention shown in FIG. 19, the hit number optimization is executed until the required coverage restriction is satisfied with a small number of sample points in the initial stage. When the number optimization is completed, the sample points after the narrowing process are increased and corrected, and the number of hits optimization is executed again until the required coverage restriction is satisfied. When the number of hits optimization is completed again Further, the above processing is repeated by correcting the sample points to increase.
If it is determined that the number of sample points to be processed such as detection sufficiency calculation is sufficiently large, the process ends.

Next, the hit number optimization process according to the sixth embodiment of the present invention shown in FIG. 19 will be specifically described with reference to the flowchart of FIG.
First, the sample point narrowing control unit 1902 outputs an initialization instruction to the sample point narrowing unit 1901 so that the number of sample point outputs is reduced (step ST2101). As a result, the sample point narrowing means 1901 greatly narrows down and outputs the sample points as instructed.
Further, the hit number initialization unit 101 initializes the beam configuration (specifically, the hit number) held by the beam configuration holding unit 102 (step ST2102).

Subsequently, the detection sufficiency calculation means 105E calculates the detection sufficiency at the maximum required detection distance of each narrowed sample point (step ST2103), and the unsatisfied sample point extraction means 106 receives the calculation result of step ST2103. Then, the presence / absence of unsatisfied sample points is determined (step ST2104).
If it is determined in step ST2104 that there are unsatisfied sample points (that is, YES), the beam configuration changing unit 107 sets the beam configuration (specifically, the number of hits) in the direction in which the detection sufficiency is improved. Change (step ST2105) and input to the beam configuration holding means 102.
Thereafter, the process returns to the detection sufficiency calculation process (step ST2103), and the above process is repeatedly executed.

On the other hand, if it is determined in step ST2104 that there are no unsatisfied sample points (that is, NO), it is considered that the restriction of the required coverage is satisfied on the sample points being used, and the sample points are narrowed down. The control means 1902 subsequently determines whether or not the number of sample points being used is equal to or greater than a predetermined number (sufficiently large) (step ST2106).
If it is determined in step ST2106 that the number of sample points is sufficiently large (that is, YES), the beam configuration optimization processing routine in FIG. 21 is terminated.

On the other hand, if it is determined in step ST2106 that the number of sample points is less than the predetermined number (insufficient) (ie, NO), the sample point narrowing control unit 1902 increases the number of sample points to be used. The narrowing-down means 1901 is instructed, and the sample point narrowing-down means 1901 corrects the number of sample points to be used more than before and outputs it as instructed (step ST2107).
Thereafter, the process returns to the detection sufficiency calculation process (step ST2103), and the beam configuration change is repeatedly executed until the required coverage restriction is satisfied at the increased sample points.

In this way, by optimizing the beam configuration with a small number of sample points to be used as the initial state, especially when a long time is required for the calculation of detection sufficiency at each sample point, optimization is achieved. The required processing time can be shortened.
In addition, since the sample points to be used are increased and corrected as necessary, a parameter solution optimized with high accuracy is finally obtained.
Here, the case of optimizing the number of hits has been described. However, the present invention can be similarly applied to the case where the optimization of the pulse width and the number of hits is performed, and equivalent effects are obtained.

Embodiment 7 FIG.
In the first embodiment (see FIG. 1), the sample point holding unit 104 is directly associated with the detection sufficiency calculation unit 105. However, between the sample point holding unit 104 and the detection sufficiency calculation unit 105, FIG. In addition, sample point narrowing means associated with the beam configuration holding means 102 and the required coverage holding means 103 may be provided.
FIG. 22 is a block diagram showing Embodiment 7 of the present invention in which sample point narrowing means related to the beam configuration holding means 102 and the required coverage holding means 103 is provided, which is the same as described above (see FIG. 1). The same reference numerals as those described above are attached, or “F” is attached after the reference numerals, and detailed description thereof is omitted.
FIG. 23 is an explanatory diagram showing detection sufficiency for each of a plurality of elevation angles set within the range of the required coverage. FIG. 24 is an explanatory diagram showing an example of sample points corresponding to FIG. 23, and corresponds to FIG.

22 is different from the above (FIG. 1) in that sample point narrowing means 2201 is added.
The sample point narrowing means 2201 is inserted between the sample point holding means 104 and the detection sufficiency calculation means 105F, and is related to the beam configuration holding means 102 and the required coverage holding means 103. The sample point holding means A part of the sample points output from 104 are deleted and the remaining sample points are output.
In this case, the detection sufficiency calculation unit 105F performs processing using the sample points that have been narrowed down output from the sample point narrowing unit 2201 as input information instead of the sample points output from the sample point holding unit 104.

The sample point narrowing means 2201 includes a detection satisfaction degree change calculation means 2202, a detection satisfaction degree minimum elevation angle calculation means 2203, and a minimum elevation angle corresponding sample point selection means 2204.
Based on the beam configuration output from the beam configuration holding unit 102 and the required coverage output from the required coverage holding unit 103, the detection sufficiency degree change calculation unit 2202 is a maximum required detection distance in a predetermined azimuth direction. The detection sufficiency for each of a plurality of elevation angles set at fine predetermined intervals within the range of the required coverage is calculated.
FIG. 23 is a graph showing the calculation result of the detection sufficiency level change calculating means 2202, where the horizontal axis represents the elevation angle and the vertical axis represents the detection sufficiency level. Here, elevations a, b, and c at which the detection sufficiency is minimized are shown in the range of the required coverage (see arrows).

  The detection sufficiency minimal elevation angle calculation means 2203 uses the correspondence between the elevation angle output from the detection sufficiency degree change calculation means 2202 and the detection sufficiency degree as input information to obtain an elevation angle that minimizes the detection sufficiency level, and obtains the minimum Input to the elevation angle corresponding sample point selection means 2204. In the case of FIG. 23, three elevation angles a, b, and c are output as detection sufficiency minimum elevation angles.

  The minimum elevation angle corresponding sample point selection means 2204 receives the detection satisfaction degree minimum elevation angle output from the detection satisfaction degree minimum elevation angle calculation means 2203 and the sample point output from the sample point holding means 104 as input information. Only the portion corresponding to the detection sufficiency minimum elevation angle is left as input information to the detection sufficiency calculation means 105F.

In FIG. 24, an example of sample points output from the minimum elevation angle corresponding sample point selection means 2204 is shown corresponding to FIG. Only the sample points corresponding to (see FIG. 23) are selected.
The sample point narrowing process according to the above procedure is executed again each time the beam configuration held in the beam configuration holding means 102 changes.

As described above, the sample point narrowing means 2201 obtains the correspondence between the elevation angle at a specific azimuth and the detection satisfaction level, selects a sample point corresponding to the elevation angle with a low detection satisfaction level, and calculates the detection satisfaction level. Processing required for optimization in the case where a long time is required for calculating detection sufficiency at each sample point by executing processing such as detection sufficiency calculation using the selected sample points in the means 105F Time can be shortened.
At this time, the sample points to be selected are low in detection sufficiency and are expected to be only points that satisfy the constraints of the required coverage, so there is a high possibility that a highly accurate parameter solution will be obtained. .
Here, the case where the hit number optimization is executed has been described, but the present invention can be similarly applied to the case where the pulse width and hit number optimization are executed.

Embodiment 8 FIG.
In Embodiment 7 described above, the detection sufficiency minimum elevation angle is used in the sample point narrowing means, but the directivity vicinity elevation angle of the transmission beam may be used.
FIG. 25 is a block diagram showing the eighth embodiment of the present invention in which the sample point narrowing means 2501 is configured using the near-elevation angle of the transmission beam, and the same components as those described above (see FIG. 1) are the same as those described above. Detailed description is omitted by adding a reference numeral or adding a “G” after the reference numeral.
26 and 27 are explanatory views showing sample points selected by the sample point narrowing means 2501 according to the eighth embodiment of the present invention. FIG. 26 corresponds to FIG. 14 described above, and FIG. 20 is supported.

In FIG. 25, the configuration of the sample point narrowing means 2501 is different from the above (sample point narrowing means 2201 in FIG. 22).
The sample point narrowing means 2501 is inserted between the sample point holding means 104 and the detection sufficiency calculation means 105G, is related to the beam configuration holding means 102, and is output from the sample point holding means 104. Are deleted, and the remaining sample points are input to the detection sufficiency calculation means 105G.
In this case, the detection sufficiency calculation means 105G does not directly take in the sample points output from the sample point holding means 104, but performs processing using the narrowed sample points output from the sample point narrowing means 2501 as input information. .

The sample point narrowing unit 2501 includes a transmission beam pointing vicinity elevation angle range extraction unit 2502 and a transmission beam pointing vicinity elevation angle corresponding sample point removal unit 2503.
The transmission beam pointing vicinity elevation angle range extraction unit 2502 uses the beam configuration output from the beam configuration holding unit 102 as input information, extracts the elevation angle of the transmission beam in the predetermined azimuth direction, and determines the elevation angle of this direction. A near elevation angle range is obtained and input to the transmission beam pointing near elevation angle corresponding sample point removing means 2503.

For example, when considering the beam configuration as shown in FIG. 26, the directivity direction of the transmission beam is the elevation angles a, b, c, d, and e at any azimuth angle.
Here, the transmission beam pointing vicinity elevation angle range extraction unit 2502 performs elevation angles a−δ to a + δ, b−δ to b + δ, c−δ to c + δ, d−δ to d + δ, and e−δ to small values δ. The range of e + δ is input to the transmission beam directivity vicinity elevation angle corresponding sample point removing means 2503 as the transmission beam directivity vicinity elevation angle range.

The transmission beam-oriented near-elevation-corresponding sample point removing unit 2503 uses the elevation angle range output from the transmission beam-oriented near-elevation range extracting unit 2502 and the sample point output from the sample point holding unit 104 as input information. Of these, only the portion corresponding to the elevation angle range is removed and input to the detection sufficiency calculation means 105G.
FIG. 27 shows an example of sample points output from the transmission beam-oriented near elevation angle corresponding sample point removing unit 2503 corresponding to FIG. 26, and is output from the transmission beam-oriented near elevation angle range extracting unit 2502. The sample points in the elevation angle range, that is, elevation angles a−δ to a + δ, b−δ to b + δ, c−δ to c + δ, d−δ to d + δ, and e−δ to e + δ are removed, and the other samples A point is selected.

As described above, the sample point narrowing means 2501 narrows and selects the sample points corresponding to the portion deviating from the directivity elevation angle of the transmission beam (becomes a valley of the beam), and the detection sufficiency calculation means 105G selects and narrows down the sample points. By performing processing such as calculation of detection satisfaction using sample points, the processing time required for optimization can be reduced when processing for calculating detection satisfaction at each sample point takes a long time. it can.
At this time, the sample points to be selected correspond to the valleys of the beam, and are expected to be only points that satisfy the restriction of the required coverage, so there is a possibility that a highly accurate parameter solution can be obtained. high.
Here, the case where the hit number optimization is executed has been described, but the present invention can be similarly applied to the case where the pulse width and hit number optimization are executed.

Embodiment 9 FIG.
In the eighth embodiment, the sample point narrowing means uses the near-elevation angle of the transmission beam, but an unsatisfied sample point may be used.
FIG. 28 is a block diagram showing the ninth embodiment of the present invention in which the sample point narrowing means 2801 is configured using unsatisfied sample points. The same reference numerals as those described above are used for the same parts as those described above (see FIG. 1). A detailed description will be omitted by adding “H” after the reference.

FIG. 28 differs from the above in that sample point narrowing means 2801 is provided.
The sample point narrowing means 2801 is constituted by an unsatisfied sample point selecting means 2802 inserted between the sample point holding means 104 and the detection satisfaction degree calculating means 105H, and one of the sample points output from the sample point holding means 104. And the remaining sample points are input to the detection sufficiency calculation means 105H.
In this case, the detection sufficiency calculation means 105H does not directly take in the sample points output from the sample point holding means 104, but performs processing using the narrowed sample points output from the sample point narrowing means 2801 as input information. .

The unsatisfied sample point selection unit 2802 outputs the sample points output from the sample point holding unit 104 as they are, and after the unsatisfied sample point extraction unit 106 outputs the unsatisfied sample points, the unsatisfied sample points are output. The unsatisfied sample points from the sample point extraction means 106 are output.
At this time, since the beam configuration changing unit 107 changes the beam configuration in a direction in which the detection sufficiency is improved, it is expected that the detection sufficiency of each sample point does not decrease with the change of the beam configuration. Is done.

In this case, once the detection satisfaction level of the sample points satisfies the constraints, it is not necessary to check the detection satisfaction level of those sample points. Even when the degree calculation process or the like is executed, a beam configuration that finally satisfies the restriction of the required coverage can be obtained.
As described above, the processing time required for the optimization can be shortened by executing the detection sufficiency calculation processing or the like for only unsatisfied sample points.
Here, the case where the hit number optimization is executed has been described, but the present invention can be similarly applied to the case where the pulse width and hit number optimization are executed.

Embodiment 10 FIG.
In the first embodiment, the hit number initializing unit 101 is provided in relation to the beam configuration holding unit 102. However, instead of the hit number initializing unit 101, the requested coverage / optimum hit number holding unit and the hit number initializing unit 101 are used. Number reduction means may be provided.
FIG. 29 is a block diagram showing the tenth embodiment of the present invention provided with the required coverage / optimum hit number holding means and hit number reduction means. The same as the above (see FIG. 1) is the same as the above. Reference numerals are assigned and detailed description is omitted.
FIG. 30 is a block diagram showing an apparatus configuration for initializing the required coverage / optimum hit count holding means 2901 in FIG.

29 differs from the above in that instead of the hit number initializing means 101, a required coverage / optimum hit number holding means 2901 and a hit number reducing means 2902 are provided.
The requested coverage / optimal hit count holding means 2901 holds a plurality of pairs of the requested coverage and the optimum hit number array corresponding to the requested coverage, and the requested coverage output from the requested coverage holding means 103. The request coverage similar to the above is searched, and the corresponding optimum hit number array is input to the hit number reducing means 2902.
The hit number reducing unit 2902 corrects the number of hits in the optimum hit number array output from the requested coverage / optimum hit number holding unit 2901 by reducing the predetermined number of hits and sets the hit number in the beam configuration holding unit 102.

The initial setting process for the required coverage / optimal hit count holding unit 2901, that is, the accumulation process of “a pair of the required coverage and the optimal hit number array corresponding to the required coverage” is, for example, the apparatus shown in FIG. Can be executed by using.
In FIG. 30, only the required coverage / optimal hit count holding means 2901 is additionally connected to the above-described apparatus (see FIG. 1) in association with the required coverage holding means 103 and the beam configuration holding means 102. Different from the above.
In order to initialize the required coverage / optimum hit count holding means 2901, in FIG. 30, various required coverage areas are set in the required coverage holding means 103, and the hit count optimization is executed each time. The request coverage and the optimization result corresponding to the request coverage may be recorded in the request coverage / optimum hit count holding unit 2901 as pair information.

  In general, the hit count optimization results for similar request coverages are expected to be similar, so the hit count optimization results are similar to the request coverages targeted for hit count optimization. If there is a requested coverage area, the optimization of the number of hits is started by setting the state in which the number of hits is slightly reduced and corrected from the optimization result as an initial state according to the above procedure. Highly efficient optimization can be realized.

Here, the case of performing the optimization of the hit number has been described. However, in the case of performing the optimization of the pulse width and the hit number, the request coverage / optimum hit number holding unit 2901 is replaced with the request coverage / The same can be realized by installing an optimum pulse width hit number product holding means and installing a pulse width hit number product reducing means instead of the hit number reducing means 2902.
In this case, the required coverage / optimum pulse width hit number product holding means holds a plurality of pairs of the required coverage and the optimum pulse width hit number product array corresponding to the required coverage, and from the required coverage holding means 103, A request coverage similar to the output request coverage is searched, and a corresponding optimum pulse width hit number product array is output.
Further, the pulse width hit number product reducing means sets the pulse width hit number product output from the required coverage / optimum pulse width hit number product holding means to the beam configuration holding means 102 after correcting the decrease by a predetermined ratio. It will be.

It is a block diagram which shows Embodiment 1 of this invention. It is a wave form diagram which shows the pulse in the processing time with respect to the transmission beam by Embodiment 1 of this invention. It is explanatory drawing which shows typically the beam directing direction in the phased array radar by Embodiment 1 of this invention. It is explanatory drawing which shows the example of a setting of the sample point by Embodiment 1 of this invention. It is explanatory drawing which shows the selection process of the change object transmission beam in case the unsatisfied sample point by Embodiment 1 of this invention exists. It is a flowchart which shows the optimization process of the number of hits by Embodiment 1 of this invention. It is a block diagram which shows Embodiment 2 of this invention. It is explanatory drawing which shows typically the restriction | limiting state of the requirement coverage by Embodiment 2 of this invention. It is a flowchart which shows the optimization process of the pulse width and hit number by Embodiment 2 of this invention. It is a block diagram which shows Embodiment 3 of this invention. It is explanatory drawing which shows the participating state of the transmission beam group by Embodiment 3 of this invention. It is a block diagram which shows Embodiment 4 of this invention. It is a flowchart which shows the multi-beam structure optimization process by Embodiment 4 of this invention. It is explanatory drawing which shows specifically the initialization process of the multi-beam structure by the Embodiment 4 of this invention, and the production | generation process of a new multi-beam structure. It is explanatory drawing which shows specifically the initialization process of the multi-beam structure by the Embodiment 4 of this invention, and the production | generation process of a new multi-beam structure. It is a block diagram which shows Embodiment 5 of this invention. It is a flowchart which shows the beam position optimization process by Embodiment 5 of this invention. It is explanatory drawing which shows the beam position arrangement | sequence production | generation process and beam position arrangement | sequence extraction process based on multi-beam transmission / reception by Embodiment 5 of this invention. It is a block diagram which shows Embodiment 6 of this invention. It is explanatory drawing which shows the narrowing-down process of the sample point by Embodiment 6 of this invention. It is a flowchart which shows the beam structure optimization process by Embodiment 6 of this invention. It is a block diagram which shows Embodiment 7 of this invention. It is explanatory drawing which shows the detection sufficiency for every some elevation angle set within the range of the request | requirement coverage by Embodiment 7 of this invention. It is explanatory drawing which shows the example of the sample point corresponding to FIG. It is a block diagram which shows Embodiment 8 of this invention. It is explanatory drawing which shows the sample point selected by the sample point narrowing means by Embodiment 8 of this invention. It is explanatory drawing which shows the sample point selected by the sample point narrowing means by Embodiment 8 of this invention. It is a block diagram which shows Embodiment 9 of this invention. It is a block diagram which shows Embodiment 10 of this invention. It is a block diagram which shows the apparatus structure for initializing the required coverage / optimal hit number holding means by Embodiment 10 of this invention.

Explanation of symbols

  101 Hit number initialization means, 102, 102A, 102B, 102C, 102D Beam configuration holding means, 103, 103A Request coverage holding means, 104 Sample point holding means, 105, 105E, 105F, 105G, 105H Detection sufficiency calculation means , 106 Unsatisfied sample point extraction means, 107, 107A, 107B Beam configuration change means, 108, 108A Change target beam selection means, 109, 109B Hit number increase means, 110, 110A, 110B Beam configuration optimization control means, 700 pulses Width hit number product initialization means, 1001 change target beam narrowing means, 1200, 1200D hit number optimization means, 1201 multi-beam configuration initialization means, 1202 multi-beam configuration holding means, 1203 neighboring multi-beam configuration setting means, 12 4, 1204D detection required time calculation means 1205, 1205D detection required time holding means, 1206 minimum detection required time multi-beam configuration extraction means, 1207, 1207D end determination means, 1208 multi-beam configuration optimization control means, 1601, 1602 beam position Setting means, 1603 Beam position holding means, 1604 Intermediate beam position setting means, 1606 Beam position range extraction means, 1608 Beam position optimization control means, 1901, 2011, 2501, 2801 Sample point narrowing means, 1902 Sample point narrowing control means, 2202 Detection sufficiency change calculation means 2203 Detection sufficiency minimum elevation angle calculation means 2204 Miniature elevation angle corresponding sample point selection means 2502 Transmission beam pointing vicinity elevation angle range extraction means 2503 Transmission beam pointing vicinity elevation angle Response sample point removal means, 2802 unmet sample point selection unit, 2901 requests covering zone-optimal number of hits holding means 2902 hits reducing means.

Claims (14)

A radar to detect the target;
A required coverage holding means for holding a range of a space to be detected by the radar as a required coverage;
Beam configuration holding means for holding a beam configuration which is a specification of a transmission beam and a reception beam by the radar;
Sample point holding means for holding a set of sample points set in advance at predetermined intervals uniformly in a range in the direction in which the required coverage area exists starting from the radar;
Detection sufficiency calculation means for calculating a detection sufficiency level indicating the degree of detection at the maximum required detection distance in each sample point direction for each sample point direction, using the required coverage, the beam configuration and the sample points as input information When,
When unsatisfied sample points whose detection sufficiency does not exceed a reference value are extracted using the sample points and the detection sufficiency corresponding to the sample points as input information, the unsatisfied sample points are detected as the detection sufficiency And when the unsatisfied sample points are not extracted, unsatisfied sample point extracting means for outputting an optimization end signal;
Using the beam configuration, the unsatisfied sample points and the detection sufficiency as input information, if the unsatisfied sample points exist, the beam configuration is changed in a direction in which the detection sufficiency is improved, Beam configuration changing means for resetting the beam configuration change content in the beam configuration holding means;
Beam configuration optimization control means for controlling the beam configuration change means to repeat the change and resetting of the beam configuration until the optimization completion signal is output from the unsatisfied sample point extraction means. Radar parameter optimization device with and. Hit number initialization means associated with the beam configuration holding means,
The radar is constituted by a phased array radar that electronically scans a beam,
The beam configuration consists of a beam position array consisting of discrete beam positions that are the directing directions of each beam scanned by the radar, and a hit consisting of the number of pulse emissions of each transmission beam transmitted from the radar. A number array and a pulse width array composed of the pulse width of each of the transmission beams,
The hit number initialization means holds the constraint imposed on the number of hits of each transmission beam, determines the minimum hit number that satisfies the constraint, and sets it in the beam configuration holding means,
The beam configuration changing means includes
Using the beam configuration, the unsatisfied sample points, and the detection sufficiency as input information, if the unsatisfied sample points exist, select the change target transmission beam to be changed in the number of hits, and change the change. Change target beam selection means for outputting a target transmission beam and the number of hits corresponding to the change target transmission beam;
A hit number increasing means for increasing and correcting the number of hits for the change target transmission beam and resetting it in the beam configuration holding means with the change target transmission beam and the hit number corresponding to the change target transmission beam as input information; The radar parameter optimization device according to claim 1, wherein Pulse width hit number product initialization means associated with the beam configuration holding means,
The radar is constituted by a phased array radar that electronically scans a beam,
The beam configuration consists of a beam position array consisting of discrete beam positions that are the directing directions of each beam scanned by the radar, and a hit consisting of the number of pulse emissions of each transmission beam transmitted from the radar. A number array and a pulse width array composed of the pulse width of each of the transmission beams,
The pulse width hit number product initialization means initializes a pulse width hit number product, which is a product of the pulse width and hit number of each transmission beam, and sets the product in the beam configuration holding means,
The beam configuration changing means includes
Using the beam configuration, the unsatisfied sample points, and the detection sufficiency as input information, if the unsatisfied sample points exist, select a change target transmission beam to be a target of change of the pulse width hit number product. Change target beam selecting means for outputting the change target transmission beam and a pulse width hit number product corresponding to the change target transmission beam;
Pulse width hit number product increasing means for increasing and outputting the pulse width hit number product for the change target transmission beam with the change target transmission beam and the pulse width hit number product corresponding to the change target transmission beam as input information; ,
Information on the constraints to be satisfied by the pulse width and hit number of each transmission beam is held, and the constraint is satisfied by using the pulse width hit number product output from the pulse width hit number product increasing means as input information, and the hits The pulse width hit number product decomposition that decomposes the pulse width hit number product into a pulse width and hit number and resets the beam configuration holding means so that the number is as small as possible and the pulse width hit number product is not reduced. The radar parameter optimizing apparatus according to claim 1, further comprising: means.   The pulse width hit number product initialization means obtains the pulse width hit number product so that the detection sufficiency at the maximum required detection distance in the directivity direction of each transmission beam becomes a predetermined reference value, and maintains the beam configuration. 4. The radar parameter optimizing device according to claim 3, wherein the radar parameter optimizing device is set in the means. The transmission beams radiated from the radar constitute a group for each of a plurality of adjacent transmission beams,
The detection sufficiency calculation means calculates the detection sufficiency by performing statistical processing based on the correlation of information obtained with transmission beams belonging to a group in the same direction as the target for the spatial target,
The beam configuration includes group information of the plurality of adjacent transmission beams,
The beam configuration changing means includes a change target beam narrowing means for narrowing down to a smaller number of transmission beams when there are a plurality of transmission beams in the same transmission beam group among the change target transmission beams,
3. The hit number increasing means or the pulse width hit number product increasing means processes the narrowed change target transmission beam output from the change target beam narrowing means as input information. 3. The radar parameter optimization device according to 3. Multi-beam configuration holding means, neighborhood multi-beam configuration setting means, detection required time calculation means, detection required time holding means, minimum detection required time multi-beam configuration extraction means, end determination means and multi-beam configuration optimization control means,
In order to collectively process a plurality of reception beams, the radar performs transmission using a multi-beam that covers the plurality of reception beams, and performs reception using a DBF method.
The beam configuration includes a multi-beam configuration indicating how the received beam corresponds to a transmission multi-beam,
The multi-beam configuration holding unit holds the multi-beam configuration and sets the initialized multi-beam configuration content in the beam configuration holding unit only when the multi-beam configuration content is initialized.
The neighboring multi-beam configuration setting unit generates a new multi-beam configuration similar to the multi-beam configuration, and sets the content of the new multi-beam configuration in the beam configuration holding unit.
The required detection time calculation means is configured to calculate the required coverage area per time from the beam configuration held in the beam configuration holding means when the unsatisfied sample point extraction means outputs the optimization end signal. Calculating the time required for detection, which is the time required for detection, and outputting the time required for detection and a multi-beam configuration corresponding to the time required for detection;
The required detection time holding means holds a set of multi-beam configurations corresponding to the required detection time and the required detection time,
The minimum detection required time multi-beam configuration extracting means records the required detection times for all multi-beam configurations set by the multi-beam configuration holding means and the neighboring multi-beam configuration setting means in the required detection time holding means. At this point, the multi-beam configuration corresponding to the minimum detection time is extracted and reset to the multi-beam configuration holding means,
The end determination means determines whether or not the end condition of the multi-beam configuration optimization process is satisfied,
The multi-beam configuration optimization control unit performs control so that the number of hits, or the pulse width and the number of hits are optimized independently for each multi-beam configuration setting to the beam configuration holding unit. The radar parameter optimizing device according to any one of claims 1 to 5, wherein Beam position holding means, intermediate beam position setting means, detection required time calculation means, detection required time holding means, beam position range extraction means, end determination means and beam position optimization control means,
The beam position holding means holds two types of beam position arrays, and only initializes the contents of the two types of beam position arrays when the contents of the two types of beam position arrays are initialized. Set the configuration retention means,
The intermediate beam position setting means newly generates one or a plurality of beam position arrays by internally dividing the corresponding beam positions at a predetermined internal ratio for the two types of beam position arrays, and Set the contents of the new beam position array in the beam configuration holding means,
The detection required time calculation means is configured to calculate the required coverage area per time from the beam configuration held in the beam configuration holding means when the unsatisfied sample point extraction means outputs the optimization completion signal. Calculating a time required for detection, which is a time required for detection, and outputting the time required for detection and a beam position array corresponding to the time required for detection;
The detection required time holding means holds a set of beam position arrangements corresponding to the detection required time and the detection required time,
The beam position range extraction unit is configured to detect the detection required at a time point when the required detection times for all the beam position arrays set by the beam position holding unit and the intermediate beam position setting unit are recorded in the required detection time holding unit. Obtaining a range of internal ratios relating to the beam position array such that the time is small, and resetting two types of beam position arrays corresponding to the upper limit and the lower limit of the range of the internal ratio in the beam position holding means,
The termination determination means determines whether or not a beam position optimization process termination condition is satisfied,
The beam position optimization control unit performs control so that the number of hits, or the pulse width and the number of hits are optimized independently for each beam position array setting to the beam configuration holding unit. The radar parameter optimizing device according to any one of claims 1 to 5, wherein: A sample point narrowing means for deleting a part of the sample points output from the sample point holding means and outputting the remaining sample points,
2. The detection sufficiency calculating means performs processing using the remaining sample points output from the sample point narrowing means instead of the sample points output from the sample point holding means. The radar parameter optimizing device according to any one of claims 1 to 7. Sample point narrowing control means for instructing the sample point narrowing means how to narrow down the sample points,
The sample point narrowing control means includes
First, instruct the sample point narrowing means to set the deleted portion of the sample point more than a predetermined value,
When the unsatisfied sample point extraction means outputs the optimization end signal, it is determined whether or not a beam configuration optimization process end condition is satisfied,
9. The radar parameter optimizing apparatus according to claim 8, wherein when the end condition is not satisfied, the sample point narrowing means is instructed to reduce and correct the deleted portion of the sample point. The sample point narrowing means is:
Detection sufficiency for calculating detection sufficiency for each of a plurality of elevation angles set at predetermined intervals within the range of the required coverage at the maximum required detection distance in a predetermined azimuth direction based on the beam configuration and the required coverage. Degree change calculation means,
Using the correspondence between the elevation angle output from the detection sufficiency level change calculating means and the detection sufficiency level as input information, an elevation angle is calculated such that the detection sufficiency level is minimized, and the detection sufficiency level is minimized as a detection sufficiency level minimal elevation angle Elevation angle calculating means;
A sample point corresponding to a minimum elevation angle that outputs only the portion corresponding to the detection elevation minimum elevation angle among the sample points, with the detection satisfaction minimum elevation angle and the sample point output from the sample point holding means as input information The radar parameter optimizing device according to claim 8, further comprising: selecting means. The sample point narrowing means is:
A transmission beam pointing vicinity elevation angle range extracting means for extracting an elevation angle in a pointing direction of a transmission beam in a predetermined azimuth angle direction using the beam configuration as input information, and obtaining and outputting an elevation angle range near the elevation angle; and
Using the elevation angle range and the sample points output from the sample point holding means as input information, only the portion corresponding to the elevation angle range of the sample points is removed and output, and the sample point removal means for transmitting beam-oriented near elevation angles is output. The radar parameter optimizing device according to claim 8, comprising:   The sample point narrowing means initially outputs the sample points output from the sample point holding means as they are, and after the time when the unsatisfied sample point extraction means outputs the unsatisfied sample points, the unsatisfied sample points are output. 9. The radar parameter optimizing apparatus according to claim 8, wherein sample points are output as the remaining sample points. A required coverage / optimal hit count holding means and hit count reduction means related to the beam configuration holding means;
The radar is constituted by a phased array radar that electronically scans a beam,
The beam configuration consists of a beam position array consisting of discrete beam positions that are the directing directions of each beam scanned by the radar, and a hit consisting of the number of pulse emissions of each transmission beam transmitted from the radar. A number array and a pulse width array composed of the pulse width of each of the transmission beams,
The requested coverage / optimal hit count holding means holds a plurality of pairs of the requested coverage and the optimal hit number array corresponding to the requested coverage, and the requested coverage output from the required coverage holding means. Search for a similar request coverage, and output an optimal hit number array corresponding to the similar request coverage,
The hit number reducing means corrects the number of hits output from the required coverage / optimal hit number holding means by a predetermined percentage and sets the hit number reduction means to the beam configuration holding means,
The beam configuration changing means includes
Using the beam configuration, the unsatisfied sample points, and the detection sufficiency as input information, if the unsatisfied sample points exist, select the change target transmission beam to be changed in the number of hits, and change the change. Change target beam selection means for outputting a target transmission beam and the number of hits corresponding to the change target transmission beam;
A hit number increasing means for increasing and correcting the number of hits for the change target transmission beam and resetting it in the beam configuration holding means with the change target transmission beam and the hit number corresponding to the change target transmission beam as input information; The radar parameter optimization device according to claim 1, wherein A required coverage / optimum pulse width hit number product holding means and a pulse width hit number product reducing means related to the beam configuration holding means;
The radar is constituted by a phased array radar that electronically scans a beam,
The beam configuration consists of a beam position array consisting of discrete beam positions that are the directing directions of each beam scanned by the radar, and a hit consisting of the number of pulse emissions of each transmission beam transmitted from the radar. A number array and a pulse width array composed of the pulse width of each of the transmission beams,
The required coverage / optimum pulse width hit number product holding means holds a plurality of pairs of the required coverage and the optimum pulse width hit number product array corresponding to the required coverage, and the required coverage holding means. A request coverage similar to the request coverage output from is retrieved, and an optimal pulse width hit number product array corresponding to the similar request coverage is output,
The pulse width hit number product reducing means corrects each pulse width hit number product output from the required coverage / optimal pulse width hit number product holding means by a predetermined percentage and sets it in the beam configuration holding means. ,
The beam configuration changing means includes
Using the beam configuration, the unsatisfied sample points, and the detection sufficiency as input information, if the unsatisfied sample points exist, select a change target transmission beam to be changed in the pulse width hit number product. Change target beam selecting means for outputting the change target transmission beam and a pulse width hit number product corresponding to the change target transmission beam;
Pulse width hit number product increasing means for increasing and outputting the pulse width hit number product for the change target transmission beam with the change target transmission beam and the pulse width hit number product corresponding to the change target transmission beam as input information; ,
Information on the constraints to be satisfied by the pulse width and hit number of each transmission beam is held, and the constraint is satisfied by using the pulse width hit number product output from the pulse width hit number product increasing means as input information, and the hits The pulse width hit number product decomposition that decomposes the pulse width hit number product into a pulse width and hit number and resets the beam configuration holding means so that the number is as small as possible and the pulse width hit number product is not reduced. The radar parameter optimizing apparatus according to claim 1, further comprising: means.

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