JP2009109457A - Radar device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a radar device that accurately measures Doppler frequency of a weather clutter and appropriately suppresses the weather clutter. <P>SOLUTION: The device for detecting a target by transmission and reception of a pulse signal includes a weather clutter detecting section 6 for detecting the weather clutter from a low frequency reception pulse signal to output the Doppler frequency and strength of the weather clutter, a first return corrective section 8 for executing return correction processing to the Doppler frequency for each beam scan to output the Doppler frequency after the first correction, a second return corrective section 10 for executing return correction processing to the Doppler frequency after the first correction to output the Doppler frequency after the second correction, and an averaging processing section 12 for executing averaging processing to the Doppler frequency after the second correction to output the Doppler frequency average value. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a radar device that is mounted on, for example, a ship and that measures the distance to a target by transmitting and receiving electromagnetic waves.

Conventionally, a radar device is known as a device that measures the distance to a target by transmitting and receiving electromagnetic waves. This type of radar device measures the distance to the target by transmitting a pulse signal to space, receiving the pulse signal reflected by the target, and measuring the spatial propagation time of the received pulse signal. Yes.
The received pulse signal includes, for example, a signal (weather clutter) reflected by raindrops, clouds, etc., in addition to the pulse signal reflected by the target. If the pulse signal reflected by the target is buried in the weather clutter, it becomes difficult to measure the distance to the target.

  Therefore, filters are used to suppress weather clutter. The center frequency of this filter is a value determined by the Doppler frequency of the weather clutter, and is one of important parameters that determine the characteristics of the filter. That is, in order to accurately determine the center frequency of the filter, it is necessary to measure the Doppler frequency of the weather clutter with high accuracy.

  As a method for measuring the Doppler frequency of the weather clutter, there is a method using a pulse pair method widely used for measuring rainfall and the like by a weather radar. In the pulse pair method, two continuous pulse signals reflected from the same distance are received, the phase difference between the pulse signals is detected, and the Doppler frequency is measured (for example, see Non-Patent Document 1).

Further, in order to measure the Doppler frequency with high accuracy, a process of averaging measured values of the Doppler frequency of the weather clutter is performed for the distance direction and the azimuth direction in the radar coverage.
In order to average the measured values of the Doppler frequency, the conventional radar signal processing apparatus measures the Doppler frequency of the clutter in the distance direction, and then performs an averaging process on the measured value of the Doppler frequency in units of range blocks. An average processing unit is provided (see, for example, Patent Document 1).

  However, when measuring the Doppler frequency of meteorological clutter using the pulse pair method, the sign of the Doppler frequency measurement value is inverted corresponding to the pulse repetition frequency, and the value becomes discontinuous in the distance direction or azimuth direction. The phenomenon may occur. When the aliasing phenomenon occurs, when the measured value of Doppler frequency is averaged, the accurate average value of Doppler frequency cannot be obtained at the place where the sign is reversed, and the Doppler frequency cannot be measured with high accuracy. There was a problem.

  Therefore, in order to measure the Doppler frequency with high accuracy, the aliasing correction processing for the measured value of Doppler frequency is performed prior to the averaging processing for the measured value of Doppler frequency. In the aliasing correction process, the correction value is added to the measured value of the Doppler frequency whose sign is inverted so that the value is continuous in the distance direction or the azimuth direction (see, for example, Non-Patent Document 1).

  In the above-described conventional radar apparatus, the averaging process and the aliasing correction process for the measured value of the Doppler frequency of the weather clutter are executed for each beam scanning of the radar apparatus (every time the radar apparatus beam makes one round of the radar coverage). Has been.

Edited by Meteorological Research Institute, "Meteorological Research Institute Technical Report (No. 19) Meteorological / Sea Research by Doppler Radar", Meteorological Research Institute, March 31, 1986, p. 10-13, p. 63-64 JP 2001-151568 A

  For example, in a radar device such as a weather radar, a pulse signal is transmitted / received in each direction while rotating an antenna at a low speed, so that a large amount of pulse signals can be transmitted / received by one beam scanning. Therefore, the Doppler frequency can be measured with high accuracy by executing the averaging process and the aliasing correction process on the measured value of the Doppler frequency of the weather clutter.

  On the other hand, for example, in a search radar device mounted on a ship or the like, pulse signals are transmitted and received in each direction while rotating an antenna at high speed. For this reason, the time per one beam scan is shortened, and the number of pulse signals transmitted and received (number of pulse hits) is smaller than in the case of weather radar. Therefore, there is a problem that the Doppler frequency cannot be measured with high accuracy even when the averaging process and the aliasing correction process are performed on the measured value of the Doppler frequency of the weather clutter.

  Therefore, as a method for measuring the Doppler frequency of meteorological clutter with high accuracy in a radar device mounted on a ship or the like, averaging Doppler frequencies measured by a plurality of beam scans, that is, between beam scans ( It is conceivable to average the Doppler frequency measurements between multiple beam scans). However, when the measured Doppler frequency values are averaged between the beam scans, the return direction by the return correction process executed for each beam scan is not necessarily the same direction between the beam scans. Therefore, there is a problem that an accurate average value of Doppler frequency cannot be obtained between beam scans, and the Doppler frequency cannot be measured with high accuracy.

  The present invention has been made to solve the above-described problems, and an object of the present invention is to provide a radar device that can measure the Doppler frequency of the weather clutter with high accuracy and appropriately suppress the weather clutter. It is to provide.

  A radar apparatus according to the present invention generates a local oscillation signal for performing frequency conversion and outputs a local oscillation unit, a low-frequency transmission pulse signal, and a low-frequency transmission pulse signal using the local oscillation signal. A transmitter that converts the frequency into a high-frequency transmission pulse signal and outputs it, an antenna that radiates the high-frequency transmission pulse signal to space and receives the high-frequency transmission pulse signal reflected by the target as a high-frequency reception pulse signal, and a local oscillation signal This is an unnecessary signal from the receiving unit that converts the frequency of the high-frequency received pulse signal into the low-frequency received pulse signal using the A / D, and AD-converts and outputs the low-frequency received pulse signal, and the digitized low-frequency received pulse signal A weather clutter detector that detects weather clutter and outputs the Doppler frequency and intensity of the weather clutter, and a beam that covers the radar The first aliasing correction unit that executes the aliasing correction process for the Doppler frequency and outputs the first corrected Doppler frequency for each beam scanning, and the beam scanning that is between a plurality of beam scannings. Executes aliasing correction processing for the corrected Doppler frequency, outputs a second aliasing correction unit that outputs the second corrected Doppler frequency, executes averaging processing for the second corrected Doppler frequency, and outputs the Doppler frequency average value. Filter setting for calculating a filter coefficient for suppressing weather clutter included in the digitized low frequency received pulse signal based on either the average processing unit and the first corrected Doppler frequency or the Doppler frequency average value And a filter for the digitized low frequency received pulse signal based on the filter coefficients. Run the data processing, but with the clutter suppression processing section for outputting a received pulse signal after suppression that suppresses the weather clutter, and a target detector for detecting a target object on the basis of suppression after receiving the pulse signal.

According to the radar apparatus of the present invention, the first aliasing correction unit executes the aliasing correction process for the Doppler frequency of the weather clutter for each beam scan, and outputs the first corrected Doppler frequency. The second aliasing correction unit executes aliasing correction processing for the first corrected Doppler frequency between beam scans, and outputs the second corrected Doppler frequency. The average processing unit executes an averaging process on the second corrected Doppler frequency, and outputs an average Doppler frequency value. The clutter suppression processing unit executes filter processing on the digitized low-frequency received pulse signal according to the filter coefficient calculated based on the average Doppler frequency value, and suppresses weather clutter.
For this reason, the Doppler frequency of the weather clutter can be measured with high accuracy, and the weather clutter can be appropriately suppressed.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the drawings, the same or corresponding members and parts will be described with the same reference numerals.

Embodiment 1 FIG.
1 is a block diagram showing a radar apparatus according to Embodiment 1 of the present invention.
In FIG. 1, this radar apparatus includes a local oscillator 1, a transmitter 2, a circulator 3, an antenna unit 4, a receiver 5, a weather clutter detector 6, a weather clutter map generator 7, 1 folding correction unit 8, changeover switch 9, second folding correction unit 10, data storage unit 11, average processing unit 12, filter setting unit 13, clutter suppression processing unit 14, target detection unit 15, It has.

The local oscillation unit 1 generates a local oscillation signal for performing frequency conversion and outputs it to the transmission unit 2 and the reception unit 5.
The transmitter 2 performs pulse modulation on the low frequency sine wave signal to generate a low frequency transmission pulse signal. Further, the transmission unit 2 uses the local oscillation signal from the local oscillation unit 1 to frequency-convert the low frequency transmission pulse signal into a high frequency transmission pulse signal in the gigahertz band and outputs the signal.

The circulator 3 outputs the high frequency transmission pulse signal from the transmission unit 2 to the antenna unit 4 and also outputs the high frequency reception pulse signal from the antenna unit 4 to the reception unit 5.
The antenna unit 4 emits a high-frequency transmission pulse signal from the circulator 3 to the space while electronically scanning the beam. The antenna unit 4 receives a high-frequency transmission pulse signal reflected by a target existing in the space as a high-frequency reception pulse signal.

  The receiving unit 5 uses the local oscillation signal from the local oscillation unit 1 to frequency-convert the high frequency reception pulse signal from the antenna unit 4 into a low frequency reception pulse signal in a low frequency band (several tens to several hundreds of megahertz). The receiving unit 5 performs AD conversion (analog-digital conversion) on the low-frequency reception pulse signal and outputs a digitized low-frequency reception pulse signal.

Hereinafter, the AD conversion processing of the low-frequency received pulse signal by the receiving unit 5 will be described with reference to FIG.
FIG. 2 is an explanatory diagram showing AD conversion processing of the low-frequency received pulse signal according to Embodiment 1 of the present invention.
In FIG. 2, a low frequency transmission pulse signal is generated at a pulse repetition time interval, and is converted into a high frequency transmission pulse signal and transmitted. Further, the high frequency received pulse signal reflected and received by the target is frequency-converted into a low frequency received pulse signal.

Here, the pulse repetition time is divided into 10 sections, and one section corresponds to the sampling interval. Of these 10 sections, 9 sections excluding the generation timing of the low-frequency transmission pulse signal correspond to the distance from the radar device (the first distance to the ninth distance).
That is, information for each distance from the radar can be obtained by AD converting the low-frequency received pulse signal. Further, by rearranging the AD-converted low-frequency received pulse signals for each pulse repetition time, time series data for each pulse repetition time at the same distance is created for each distance.
FIG. 2 shows, as an example, time-series data at the fifth distance created by rearranging digitized low-frequency received pulse signals for each pulse repetition time. The sampling time interval of this time series data coincides with the pulse repetition time.

The weather clutter detection unit 6 detects weather clutter, which is an unnecessary signal reflected by raindrops, clouds, and the like, from the low-frequency transmission pulse signals digitized by the reception unit 5 and rearranged for each pulse repetition time. Outputs the Doppler frequency and intensity of the clutter.
The Doppler frequency of the weather clutter is calculated as the following equation (1) using the pulse pair method described above. Further, the Doppler frequency of the weather clutter is calculated for each distance from the radar device.

In equation (1), f _d (x) is the Doppler frequency of the weather clutter at the x-th distance, T _s is the pulse repetition time, arg is the complex-valued phase angle, M is the number of pulse hits, and v (x, k) is The low-frequency received pulse signal of the kth hit at the xth distance, * indicates the complex conjugate.
In addition, the intensity of the weather clutter is obtained by measuring the power or voltage of the low-frequency received pulse signal for each distance.
In addition, the Doppler frequency and intensity | strength of a weather clutter are measured about each distance and each azimuth | direction for every beam scanning in which a beam scans a scanning range (beam coverage).

The weather clutter map creation unit 7 creates a weather clutter map indicating the distance characteristics of the Doppler frequency and intensity for each direction based on the Doppler frequency and intensity data of the weather clutter output from the weather clutter detection unit 6.
The weather clutter map created by the weather clutter map creation unit 7 will be described below with reference to FIG.

FIG. 3 is an explanatory diagram showing a weather clutter map according to Embodiment 1 of the present invention. FIG. 3 shows a weather clutter map in the i-th azimuth (i-th azimuth) as an example.
In FIG. 3, the weather clutter map is created for each azimuth with the distance direction as the horizontal axis and the Doppler frequency and intensity as the vertical axis. Each range cell in the distance direction corresponds to each of the first distance to the ninth distance shown in FIG.

  The first aliasing correction unit 8 executes the aliasing correction process for the Doppler frequency of the weather clutter based on the weather clutter map created by the weather clutter map creation unit 7 for the distance direction and the azimuth direction, and the first corrected Doppler frequency And the intensity of weather clutter. The first aliasing correction unit 8 executes this aliasing correction process for each beam scan. The first corrected Doppler frequency and the intensity of the weather clutter are stored in the data storage unit 11 for each beam scan.

Weather clutter folding includes distance folding and Doppler frequency folding. The return of the distance occurs when the previously transmitted high-frequency transmission pulse signal is reflected by a very far object and mixed with the next transmitted high-frequency transmission pulse signal.
Here, in order to suppress the return of the distance, it is conceivable to increase the pulse repetition time, but in this case, the return of the Doppler frequency occurs.

The Doppler frequency aliasing occurs because a Doppler frequency higher than the maximum aliasing frequency f _max expressed by the following equation (2) is not accurately recognized.
In equation (2), T _s indicates the pulse repetition time.

That is, as shown in FIG. 4, the measured value of the Doppler frequency takes a value of −f _{max to} f _max with respect to the true Doppler frequency. Therefore, it is impossible to directly measure a Doppler frequency higher than the maximum folding frequency f _max .
When the Doppler frequency aliasing occurs, a value obtained by multiplying the true Doppler frequency by an even multiple of the maximum aliasing frequency f _max is added or subtracted, so that a discontinuous region occurs in the distance direction before and after the aliasing occurs.

Therefore, the first aliasing correction unit 8 detects the aliasing of the Doppler frequency and executes the aliasing correction process for the Doppler frequency in the distance direction.
Hereinafter, the folding correction process in the distance direction with respect to the Doppler frequency by the first folding correction unit 8 will be described with reference to FIG.

FIG. 5 is an explanatory diagram showing the aliasing correction processing in the distance direction with respect to the Doppler frequency according to Embodiment 1 of the present invention.
In FIG. 5, first, the first aliasing correction unit 8 compares the intensity of the weather clutter with a preset threshold value for each distance, and if the intensity of the weather clutter is smaller than the threshold value, the weather Remove the Doppler frequency and intensity of the clutter as noise. Further, the first aliasing correction unit 8 detects a distance (range cell) having the maximum intensity from the intensity of the remaining weather clutter, and sets the Doppler frequency at this distance as a reference (true) value. Hereinafter, the reference value of the Doppler frequency is referred to as a reference Doppler frequency.

Subsequently, the first aliasing correction unit 8 compares the Doppler frequency f _{n at the} target distance and the Doppler frequency f _m adjacent to the Doppler frequency f _n . The first aliasing correction unit 8 determines that the aliasing of the Doppler frequency has occurred when the absolute value of the difference between the two is greater than the maximum aliasing frequency _fmax , that is, when the following equation (3) is satisfied.

| F _n −f _m |> f _max (3)

The first aliasing correction unit 8 first compares the reference Doppler frequency with a Doppler frequency adjacent to the reference Doppler frequency. In this case, the Doppler frequency f _n at the distance of interest is a reference Doppler frequency, the Doppler frequency Doppler frequency f _m which is adjacent to the Doppler frequency f _n is adjacent to a reference Doppler frequency.

The first reflection correcting unit 8, when wrapping Doppler frequency is determined not to occur does not correct the Doppler frequency f _m.
The first reflection correcting unit 8, when wrapping Doppler frequency is determined to have occurred, as the Doppler frequency f _m is closest to the Doppler frequency f _n, the maximum folding frequency in the Doppler frequency f _m the f _max by adding or subtracting even multiple values, corrects the Doppler frequency f _p represented by the following formula (4).
In the formula (4), s is 1 or -1.

f _p = f _m + 2sf _max (4)

Next, the first aliasing correction unit 8 compares the Doppler frequency adjacent to the reference Doppler frequency with the Doppler frequency further adjacent to the Doppler frequency adjacent to the reference Doppler frequency (that is, adjacent to the reference Doppler frequency). To do. In this case, the Doppler frequency f _n at the distance of interest is a Doppler frequency that is adjacent to a reference Doppler frequency (f _m or f _p). Hereinafter, the first aliasing correction unit 8 similarly corrects the Doppler frequencies in the distance direction adjacent to each other in the same manner.

The measured values of the Doppler frequency and intensity of the weather clutter include errors due to noise and the like, so the Doppler frequency and intensity may take discontinuous values. If this discontinuous value is erroneously determined that the Doppler frequency aliasing has occurred, the Doppler frequency cannot be corrected appropriately.
For this reason, it is necessary to apply noise removal processing such as median filter processing, which is an existing processing, to the Doppler frequency and intensity measurement values in advance.

  As described above, the aliasing correction processing in the distance direction with respect to the Doppler frequency has been described with reference to FIG. However, even when the aliasing correction processing in the distance direction is executed, the aliasing direction (either the plus direction side or the minus direction side) does not match in the adjacent orientation, so the Doppler frequency does not match in the orientation direction. Possible to take continuous values.

Therefore, the first aliasing correction unit 8 executes the aliasing correction process for the Doppler frequency in the azimuth direction after executing the aliasing correction process for the Doppler frequency in the distance direction.
Hereinafter, the aliasing correction processing in the azimuth direction with respect to the Doppler frequency by the first aliasing correction unit 8 will be described with reference to FIG.

FIG. 6 is an explanatory diagram showing a fold-back correction process in the azimuth direction with respect to the Doppler frequency according to Embodiment 1 of the present invention.
6, first, the first reflection correcting unit 8, and the Doppler frequency f _i at the distance which the intensity of the weather clutter in the i direction of interest is maximized, the intensity of the weather clutter in the (i + 1) orientation adjacent to the i-th orientation Is compared with the Doppler frequency f _{i + 1 at the} distance where becomes the maximum. The first aliasing correction unit 8 determines that the aliasing of the Doppler frequency has occurred when the absolute value of the difference between the two is greater than the maximum aliasing frequency f _max , that is, when the following equation (5) is satisfied.

| F _{i + 1} −f _i |> f _max (5)

When determining that no Doppler frequency aliasing has occurred, the first aliasing correction unit 8 does not correct the Doppler frequency fi _{+ 1} .
In addition, when the first aliasing correction unit 8 determines that the aliasing of the Doppler frequency has occurred, the first aliasing correction unit 8 has the i + 1 orientation so that the Doppler frequency in the i + 1 orientation is closest to the Doppler frequency in the i orientation. Correct the Doppler frequency. Specifically, a value obtained by multiplying the maximum folding frequency f _max by an even number is added to or subtracted from each of the Doppler frequencies at each distance in the (i + 1) th azimuth. The Doppler frequency f _{i + 1} (x) after correction of each distance in the ( _{i + 1} ) _th azimuth is expressed by the following equation (6).

f _{i + 1} (x) = f _{i + 1, x} + 2tf _max (6)

In Equation (6), f _{i + 1, x} represents the Doppler frequency of the xth distance in the (i + 1) th azimuth. Moreover, in Formula (6), t is 1 or -1.
Next, the first aliasing correction unit 8 performs the Doppler frequency f _{i + 1 at the} distance where the intensity of the weather clutter is maximum in the i + 1 direction and the distance where the intensity of the weather clutter is maximum in the i + 2 direction adjacent to the i + 1 direction. And the Doppler frequency f _{i + 2} at. The first aliasing correction unit 8 corrects Doppler frequencies in the adjacent azimuth directions one after another in the same manner.

The changeover switch 9 switches the course of the first post-correction Doppler frequency output from the first aliasing correction unit 8 and outputs it to one of the second aliasing correction unit 10 and the filter setting unit 13.
When the changeover switch 9 is switched to the filter setting unit 13 side, a filter for suppressing weather clutter based on the Doppler frequency of the weather clutter for which the aliasing correction processing is executed for each beam scan and the intensity of the weather clutter. A coefficient is calculated.
On the other hand, when the changeover switch 9 is switched to the second aliasing correction unit 10 side, aliasing correction processing is executed between the beam scans, and the averaged Doppler frequency (Doppler frequency average value) of the weather clutter is averaged. The filter coefficient is calculated based on the intensity of the weather clutter that has been processed.

The second aliasing correction unit 10 performs aliasing correction processing on the first corrected Doppler frequency output from the first aliasing correction unit 8 between beam scans, and outputs the second corrected Doppler frequency and the intensity of weather clutter. To do.
The first aliasing correction unit 8 performs the aliasing correction processing in the distance direction and the azimuth direction with respect to the Doppler frequency of the weather clutter for each beam scan. However, the turn-back direction is positive or negative for each beam scan, and there is a possibility that the first corrected Doppler frequency is turned back when viewed between the beam scans.

Therefore, the second aliasing correction unit 10 executes aliasing correction processing for the first post-correction Doppler frequency between beam scans.
Hereinafter, the aliasing correction process for the first corrected Doppler frequency by the second aliasing correction unit 10 will be described with reference to FIG.
FIG. 7 is an explanatory diagram showing the aliasing correction process for the first corrected Doppler frequency according to the first embodiment of the present invention.

In FIG. 7, first, the second folding correction unit 10 compares the first corrected Doppler frequency in the j-th beam scanning and the first corrected Doppler frequency in the j + 1-th beam scanning for each direction. Specifically, the first corrected Doppler frequency f _{j, i} at a distance at which the intensity of the weather clutter in the i-th direction is maximum in the j-th beam scan, and the weather clutter in the i-th direction in the j + 1-th beam scan. The first corrected Doppler frequency f _{j + 1, i at the} distance where the intensity is maximum is compared.
The second aliasing correction unit 10 causes aliasing of the first post-correction Doppler frequency when the absolute value of the difference between the two becomes larger than the maximum aliasing frequency f _max , that is, when the following equation (7) holds: Judge.

| F _{j + 1, i} −f _{j, i} |> f _max (7)

The second aliasing correction unit 10 does not correct the first corrected Doppler frequency f _{j + 1, i} when determining that the aliasing of the first corrected Doppler frequency has not occurred.
Further, when the second aliasing correction unit 10 determines that aliasing of the first corrected Doppler frequency has occurred, the first corrected Doppler frequency in the i-th azimuth in the j + 1-th beam scanning is the jth time. The first corrected Doppler frequency in the i-th azimuth in the j + 1-th beam scanning is corrected so as to be closest to the first corrected Doppler frequency in the i-th direction in the beam scanning. Specifically, a value obtained by multiplying the maximum folding frequency f _max by an even number is added to or subtracted from each first corrected Doppler frequency at each distance in the i-th azimuth of the (j + 1) th beam scanning. The first corrected Doppler frequency f _{j + 1, i} (x) after correction of each distance in the i-th azimuth of the j + 1-th beam scanning is expressed by the following equation (8).

f _{i + 1, i} (x) = f _{j + 1, i, x} + 2uf _max (8)

In the equation (8), f _{j + 1, i, x} indicate the first corrected Doppler frequency of the i-th azimuth and the x-th distance in the j + 1-th beam scanning. Moreover, in Formula (8), u is 1 or -1.
Note that the folding correction process between beam scans by the second folding correction unit 10 can be executed when the number of beam scans is two or more. That is, the second aliasing correction unit 10 reads the first post-correction Doppler frequency stored in the data storage unit 11 when the number of beam scans is two or more. The second aliasing correction unit 10 executes the aliasing correction process on the first corrected Doppler frequency, and then stores the second aliasing correction frequency in the data storage unit 11 as the second corrected Doppler frequency.

  The data storage unit 11 stores the first corrected Doppler frequency and weather clutter intensity output from the first aliasing correction unit 8 and the second corrected Doppler frequency output from the second aliasing correction unit 10.

The average processing unit 12 performs an averaging process on the second corrected Doppler frequency output from the second aliasing correction unit 10 and the intensity of the weather clutter, and outputs the Doppler frequency average value and the intensity average value. The average processing unit 12 averages the second post-correction Doppler frequencies and the intensities at the same distance and the same direction between the beam scans.
It is assumed that the number of beam scans used for the averaging process is a fixed value. As the number of beam scans used for averaging processing increases, the number of pulse hits used for signal processing increases, so that the measurement accuracy of the Doppler frequency of the weather clutter can be improved.

The filter setting unit 13 calculates a filter coefficient for suppressing weather clutter included in the digitized low frequency reception pulse signal from the reception unit 5.
When the first corrected Doppler frequency and the intensity of the weather clutter are input from the first aliasing correction unit 8, the filter setting unit 13 has an attenuation characteristic in the first corrected Doppler frequency, and the intensity of the weather clutter The filter coefficient of the band limiting filter having the above attenuation characteristic is calculated.

Further, when the Doppler frequency average value and the intensity average value are input from the average processing unit 12, the filter setting unit 13 has an attenuation characteristic in the Doppler frequency average value, and has an attenuation characteristic that is equal to or greater than the intensity average value. A filter coefficient of the band limiting filter that is included is calculated.
Here, for example, a filter for suppressing weather clutter is set by setting a filter coefficient in a known FIR type or IIR type digital filter.

  The clutter suppression processing unit 14 performs filter processing on the digitized low-frequency received pulse signal from the reception unit 5 based on the filter coefficient of the band limiting filter calculated by the filter setting unit 13 to suppress weather clutter. The post-suppression received pulse signal is output.

  That is, when the changeover switch 9 is switched to the second aliasing correction unit 10 side, the clutter suppression processing unit 14 averages the beam scans over a plurality of past beam scans up to the nth time. A band limiting filter according to the second corrected Doppler frequency and the intensity of the weather clutter is set. Further, the clutter suppression processing unit 14 performs filter processing on the digitized low-frequency reception pulse signal output from the reception unit 5 in the (n + 1) th beam scanning using the band limiting filter. As a result, the weather clutter component is suppressed from the digitized low frequency received pulse signal.

The target detection unit 15 detects a target based on the received pulse signal after suppression output from the clutter suppression processing unit 14.
The target detection unit 15 detects a target by a method such as a known CFAR (Constant False Alarm Rate) process.

According to the radar apparatus according to Embodiment 1 of the present invention, the first aliasing correction unit 8 performs the aliasing correction for the Doppler frequency of the weather clutter for each beam scanning based on the weather clutter map from the weather clutter map creation unit 7. The process is executed and the first corrected Doppler frequency is output. The second aliasing correction unit 10 performs aliasing correction processing for the first corrected Doppler frequency between beam scans, and outputs the second corrected Doppler frequency. Moreover, the average process part 12 performs the averaging process with respect to the 2nd corrected Doppler frequency, and outputs a Doppler frequency average value. The clutter suppression processing unit 14 performs a filtering process on the digitized low-frequency received pulse signal according to the filter coefficient calculated by the filter setting unit 13 based on the Doppler frequency average value, and suppresses weather clutter.
Therefore, since an accurate average Doppler frequency value can be obtained between beam scans, the Doppler frequency of weather clutter can be measured with high accuracy.
Further, by accurately calculating the filter coefficient of the band limiting filter based on this Doppler frequency average value, weather clutter can be appropriately suppressed.

Embodiment 2. FIG.
In Embodiment 1 described above, the number of beam scans used for the averaging process for the second corrected Doppler frequency and the intensity of the weather clutter in the averaging processing unit 12 is a fixed value. However, the present invention is not limited to this, and the number of beam scans used for the averaging process may be arbitrarily set according to the detection result of the target in the target detection unit 15.
Hereinafter, a process of variably setting the number of beam scans used for the averaging process according to the target detection result in the target detection unit 15 will be described.

FIG. 8 is a block diagram showing a radar apparatus according to Embodiment 2 of the present invention.
In FIG. 8, the radar apparatus includes an average processing unit 12A instead of the average processing unit 12 shown in FIG. In addition, the radar apparatus sets the number of beam scans used for the averaging process with respect to the second corrected Doppler frequency and the intensity of the weather clutter according to the detection result of the target in the target detection unit 15, and the average processing unit 12A An average number control unit 16 for output is provided.
Other configurations are the same as those of the first embodiment, and the description thereof is omitted.

  In general, the filter coefficient for suppressing weather clutter becomes more accurate as the measurement accuracy of the Doppler frequency and intensity of the weather clutter is higher. As a method for improving the measurement accuracy of the Doppler frequency and intensity of the weather clutter, it is conceivable to increase the number of pulse hits used in the averaging process. In order to increase the number of pulse hits, the number of beam scans used in the averaging process may be increased.

  Therefore, the average number control unit 16 determines the target detection result in the target detection unit 15, specifically, according to the magnitude of the remaining uncleared weather clutter in the received pulse signal after suppression from the clutter suppression processing unit 14. The number of beam scans used for the averaging process is set. The average processing unit 12A performs an averaging process on the second corrected Doppler frequency and the intensity of the weather clutter according to the number of beam scans set by the average number control unit 16.

  For this reason, the magnitude of the unerased weather clutter represented by the power ratio of the desired signal to the clutter signal in the received pulse signal after suppression is set in advance in association with the number of beam scans used in the averaging process. The average number control unit 16 sets the number of beam scans used for the averaging process based on the result of actually measuring the power ratio of the desired signal to the clutter signal. The desired signal is a signal indicating a target, and the clutter signal is a signal indicating weather clutter.

Here, FIG. 9 illustrates the relationship between the power ratio of the desired signal to the clutter signal in the received pulse signal after suppression and the number of beam scans used for the averaging process.
In FIG. 9, as the power ratio of the desired signal to the clutter signal is smaller, the desired signal is buried in the weather clutter, so the number of beam scans used for the averaging process is set larger.
Note that the relationship between the power ratio of the desired signal to the clutter signal and the number of beam scans used for the averaging process is not limited to that shown in FIG. 9, but is changed according to the specifications of the radar device, the radio wave environment, and the like. The

According to the radar apparatus according to the second embodiment of the present invention, the average number control unit 16 detects the target signal in the target detection unit 15, that is, the desired signal vs. the clutter signal indicating the magnitude of the remaining weather clutter. The number of beam scans used for the averaging process is set according to the power ratio.
Therefore, the measurement accuracy of the Doppler frequency and intensity of the weather clutter can be improved, and the filter coefficient of the band filter for suppressing the weather clutter can be calculated more accurately.

Embodiment 3 FIG.
In the first embodiment, the second aliasing correction unit 10 determines the occurrence of aliasing of the first post-correction Doppler frequency between two adjacent beam scans, and performs the aliasing correction processing for the first post-correction Doppler frequency. Was running. However, the present invention is not limited to this, and the folding direction of the first corrected Doppler frequency is determined at a time between two or more beam scans, and the folding with respect to the first corrected Doppler frequency is performed based on the folding direction. Correction processing may be executed.
Hereinafter, a process of determining the folding direction of the first corrected Doppler frequency between a plurality of beam scans and executing the folding correction process on the first corrected Doppler frequency will be described.

FIG. 10 is a block diagram showing a radar apparatus according to Embodiment 3 of the present invention.
In FIG. 10, the radar apparatus includes a second folding correction unit 10B instead of the second folding correction unit 10 shown in FIG. The radar apparatus also includes a turn-back direction determination unit 17.
Other configurations are the same as those of the first embodiment, and the description thereof is omitted.

  The folding direction determination unit 17 determines the folding direction of the first post-correction Doppler frequency between a plurality of beam scans. The folding direction determination unit 17 also sets the number of times of beam scanning determined as the reference beam scanning and the number of times of beam scanning that needs to be subjected to folding correction processing for the first post-correction Doppler frequency to the second folding correction unit. Output to 10B. The second aliasing correction unit 10B executes the aliasing correction process for the first post-correction Doppler frequency only for the beam scanning determined to require the aliasing correction process with reference to the beam scanning value determined as the reference.

Hereinafter, the operation of the folding direction determination unit 17 will be described in detail with reference to FIG.
FIG. 11 is an explanatory diagram showing the operation of the folding direction determination unit 17 according to the third embodiment of the present invention. Here, the process of determining the folding direction of the first post-correction Doppler frequency between the three beam scannings and determining the beam scanning that needs to perform the reference beam scanning and the folding correction process will be described.

In FIG. 11, first, the first corrected Doppler frequency and the intensity of weather clutter in a plurality of beam scans are input from the data storage unit 11 to the folding direction determination unit 17. Subsequently, the return direction determination unit 17 compares the intensity of the weather clutter in each beam scan, and determines the beam scan including the maximum intensity as the reference beam scan.
Specifically, of the j−1th, jth, and j + 1th beam scans, the beam scan that measures the weather clutter having the maximum intensity is set as the reference beam scan. Here, it is assumed that the intensity of the weather clutter is maximized in the (j−1) th p-th direction, and the j−1th beam scan is determined as the reference beam scan.

Subsequently, the folding direction determination unit 17 limits the intensity of the weather clutter between the reference beam scan and another beam scan by limiting to the same direction as the direction in which the intensity of the weather clutter is maximum in the reference beam scan. Compare the first corrected Doppler frequency at a distance where becomes the maximum. When the absolute value of the difference between the folding direction determination unit 17 is larger than the maximum folding frequency f _max shown in the above-described equation (2), the beam that needs to perform the folding correction process for another beam scan. Determine to scan.

Specifically, the first corrected Doppler frequency f _{j−1, p at the} distance at which the intensity of the weather clutter in the p-th direction is the maximum in the _j− 1th beam scan, and the jth and j + 1th beam scans. The first corrected Doppler frequencies f _{j, p} , f _{j + 1, p at the} distance at which the intensity of the weather clutter in the p-th direction is maximum are respectively compared. Here, since aliasing of the first post-correction Doppler frequency occurs in the j-th beam scanning, the j-th beam scanning is determined to be a beam scanning that needs to be subjected to aliasing correction processing.

According to the radar apparatus according to Embodiment 3 of the present invention, the folding direction determination unit 17 determines the folding direction of the first post-correction Doppler frequency between a plurality of beam scans. The folding direction determination unit 17 also sets the number of times of beam scanning determined as the reference beam scanning and the number of times of beam scanning that needs to be subjected to folding correction processing for the first post-correction Doppler frequency to the second folding correction unit. Output to 10B.
Therefore, when the folding correction processing for the first post-correction Doppler frequency is executed for a plurality of beam scans of two or more times, the beam scanning that needs to perform the folding direction and the folding correction processing of the first post-correction Doppler frequency is performed. After knowing, the aliasing correction processing can be executed.
Therefore, the procedure can be simplified as compared with the case where the return direction is determined and the return correction process is executed.

Embodiment 4 FIG.
In the first embodiment, the filter setting unit 13 calculates the filter coefficient of the band limiting filter having the attenuation characteristic in the average Doppler frequency and the attenuation characteristic higher than the average intensity value. However, the present invention is not limited to this, and the bandwidth of a filter that suppresses weather clutter may be set by measuring the frequency width of weather clutter.
Hereinafter, a process for measuring the frequency width of the weather clutter and setting the bandwidth of the filter for suppressing the weather clutter will be described.

FIG. 12 is a block diagram showing a radar apparatus according to Embodiment 4 of the present invention.
In FIG. 12, this radar apparatus replaces the weather clutter detection unit 6, the weather clutter map creation unit 7 and the average processing unit 12 shown in FIG. 1 with a weather clutter detection unit 6C, a weather clutter map creation unit 7C and an average process. 12C is provided. The radar apparatus also includes a filter shape calculation unit 19.
Other configurations are the same as those of the first embodiment, and the description thereof is omitted.

The weather clutter detection unit 6C detects the weather clutter from the low-frequency transmission pulse signals digitized by the reception unit 5 and rearranged for each pulse repetition time, and outputs the Doppler frequency, intensity, and frequency width of the weather clutter. .
Here, the Doppler frequency and intensity of the weather clutter are calculated by the method described in the first embodiment. On the other hand, the frequency width of the weather clutter is calculated as shown in the following equation (9) by the above-described pulse pair method using the low-frequency transmission pulse signal. Note that the frequency width of the weather clutter is measured for each distance and each direction for each beam scan.

In Equation (9), σ _f (x) is the frequency width of the weather clutter at the x-th distance, T _s is the pulse repetition time, and R (x, T _s ) is the pulse lag time T _s at the x-th distance. The autocorrelation of the received pulse train, R (x, 0), indicates the autocorrelation of the received pulse train at the xth distance. The symbol || represents an absolute value.
In addition, R (x, T _s ) and R (x, 0) in the formula (9) are represented by the following formula (10) and the following formula (11), respectively.

In equations (10) and (11), T _s is the pulse repetition time, arg is the complex-valued phase angle, M is the number of pulse hits, and v (x, k) is the low frequency reception of the k hit at the xth distance. A pulse signal, * indicates a complex conjugate.
The weather clutter map creation unit 7C generates a weather clutter map indicating the distance characteristics of the Doppler frequency, intensity, and frequency width based on the Doppler frequency, intensity, and frequency width data of the weather clutter output from the weather clutter detection unit 6C. Create for each direction.
Here, FIG. 13 illustrates a weather clutter map showing the distance characteristics of the frequency width in the i-th direction.

  The average processing unit 12C performs an averaging process on the second corrected Doppler frequency and the intensity of the weather clutter output from the second aliasing correction unit 10, and performs the frequency processing on the frequency width of the weather clutter between a plurality of beam scans. Averaging processing is executed and the average frequency width is output.

  The filter shape calculation unit 19 calculates a filter shape for suppressing weather clutter based on the Doppler frequency average value, the intensity average value, and the frequency width average value output from the average processing unit 12C. That is, the center frequency of the filter is set so as to match the Doppler frequency average value, the attenuation amount is set so as to be equal to or greater than the intensity average value, and the filter bandwidth is set so as to be equal to or greater than the frequency width average value. The filter is set for each distance in each direction.

  Further, the filter setting unit 13 calculates the filter coefficient of the band limiting filter by the method described in the first embodiment. That is, for example, a filter coefficient in a known FIR type or IIR type digital filter is set, and a filter that suppresses weather clutter is set.

According to the radar apparatus according to Embodiment 4 of the present invention, the weather clutter detection unit 6C measures the frequency width of the weather clutter. The filter shape calculation unit 19 sets the bandwidth of the filter that suppresses the weather clutter using the average frequency width averaged by the average processing unit 12C.
Therefore, the shape of the filter that suppresses the weather clutter can be set accurately.

Embodiment 5 FIG.
In the fourth embodiment, the filter shape calculation unit 19 calculates the filter shape using the intensity average value and the frequency width average value averaged by the average processing unit 12C for the intensity and frequency width of the weather clutter. However, the present invention is not limited to this, and the maximum values of the intensity and frequency width of the weather clutter may be detected, and the filter shape may be calculated using these maximum values.
Hereinafter, the process of calculating the filter shape using the maximum value of the intensity and frequency width of the weather clutter will be described.

FIG. 14 is a block diagram showing a radar apparatus according to Embodiment 5 of the present invention.
In FIG. 14, the radar apparatus includes an average processing unit 12D and a filter shape calculation unit 19D instead of the average processing unit 12C and the filter shape calculation unit 19 shown in FIG. In addition, this radar apparatus includes a maximum value detection unit 20.
Other configurations are the same as those of the fourth embodiment described above, and a description thereof is omitted.

The average processing unit 12D performs an averaging process on the second corrected Doppler frequency output from the second aliasing correction unit 10 and outputs an average Doppler frequency value.
The maximum value detection unit 20 detects the maximum values of the intensity and frequency width of the weather clutter for each distance in each direction in a plurality of beam scans (the number of beam scans when the averaging process is to be executed between beam scans). The maximum intensity value and the maximum frequency width value are output.

  The filter shape calculation unit 19 suppresses weather clutter based on the Doppler frequency average value output from the average processing unit 12D and the maximum intensity value and frequency width maximum value output from the maximum value detection unit 20. The filter shape is calculated. That is, the center frequency of the filter is set so as to coincide with the average Doppler frequency, the attenuation is set so as to be equal to or greater than the maximum intensity value, and the bandwidth of the filter is set so as to be equal to or greater than the maximum frequency width. The filter is set for each distance in each direction.

According to the radar apparatus according to Embodiment 5 of the present invention, the filter shape calculation unit 19D uses a maximum intensity value and a maximum frequency width value detected by the maximum value detection unit 20 to use a filter that suppresses weather clutter. Set attenuation and bandwidth.
Therefore, it is possible to sufficiently secure the attenuation characteristic of the filter and improve the suppression performance of the weather clutter.

The filter shape calculation unit 19 calculates the filter shape by selecting either the intensity average value and the frequency width average value, the intensity maximum value, and the frequency width maximum value according to the temporal variation of the weather clutter. May be.
Also in this case, the same effect as in the fourth or fifth embodiment can be obtained.

In the first to fifth embodiments, the number of range cells is nine. However, the present invention is not limited to this. The number of range cells can be set to an arbitrary value.
Also in this case, the same effects as those of the first to fifth embodiments can be obtained.

It is a block block diagram which shows the radar apparatus which concerns on Embodiment 1 of this invention. It is explanatory drawing which shows the AD conversion process of the low frequency received pulse signal which concerns on Embodiment 1 of this invention. It is explanatory drawing which shows the weather clutter map which concerns on Embodiment 1 of this invention. It is explanatory drawing which shows the relationship between the true Doppler frequency which concerns on Embodiment 1 of this invention, and the measured value of a Doppler frequency. It is explanatory drawing which shows the folding correction process of the distance direction with respect to the Doppler frequency which concerns on Embodiment 1 of this invention. It is explanatory drawing which shows the folding correction process of the azimuth | direction direction with respect to the Doppler frequency which concerns on Embodiment 1 of this invention. It is explanatory drawing which shows the aliasing correction process with respect to the 1st post-correction Doppler frequency which concerns on Embodiment 1 of this invention. It is a block block diagram which shows the radar apparatus which concerns on Embodiment 2 of this invention. It is explanatory drawing which shows the relationship between the power ratio of the desired signal and the clutter signal which concerns on Embodiment 2 of this invention, and the frequency | count of beam scanning used for an averaging process. It is a block block diagram which shows the radar apparatus which concerns on Embodiment 3 of this invention. It is explanatory drawing which shows operation | movement of the folding | turning direction determination part which concerns on Embodiment 3 of this invention. It is a block block diagram which shows the radar apparatus which concerns on Embodiment 4 of this invention. It is explanatory drawing which shows the distance characteristic of the frequency width which concerns on Embodiment 4 of this invention. It is a block block diagram which shows the radar apparatus concerning Embodiment 5 of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 Local oscillation part, 2 Transmission part, 4 Antenna part, 5 Reception part, 6, 6C Weather clutter detection part, 8 1st return correction part, 10, 10B 2nd return correction part, 12, 12A, 12C, 12D Average process Unit, 13 filter setting unit, 14 clutter suppression processing unit, 15 target detection unit, 16 average number control unit, 17 folding direction determination unit, 19, 19D filter shape calculation unit, 20 maximum value detection unit.

Claims (5)

A local oscillator for generating and outputting a local oscillation signal for frequency conversion;
A transmitter that generates a low-frequency transmission pulse signal, converts the frequency of the low-frequency transmission pulse signal into a high-frequency transmission pulse signal using the local oscillation signal, and outputs the high-frequency transmission pulse signal;
An antenna unit that radiates the high-frequency transmission pulse signal into space and receives the high-frequency transmission pulse signal reflected by the target as a high-frequency reception pulse signal;
Using the local oscillation signal, the high-frequency reception pulse signal is frequency-converted into a low-frequency reception pulse signal, and the low-frequency reception pulse signal is AD-converted and output;
Detecting a weather clutter that is an unnecessary signal from the digitized low frequency received pulse signal, and outputting a Doppler frequency and intensity of the weather clutter;
A first aliasing correction unit that performs aliasing correction processing on the Doppler frequency and outputs the first corrected Doppler frequency each time the beam scans the radar coverage;
A second aliasing correction unit that performs aliasing correction processing on the first corrected Doppler frequency between beam scannings that are a plurality of times of the beam scanning, and outputs a second corrected Doppler frequency;
An averaging process unit that performs an averaging process on the second corrected Doppler frequency and outputs an averaged Doppler frequency value;
A filter setting unit that calculates a filter coefficient for suppressing the weather clutter included in the digitized low-frequency received pulse signal based on one of the first corrected Doppler frequency and the average Doppler frequency When,
A clutter suppression processing unit that performs filtering on the digitized low-frequency received pulse signal based on the filter coefficient, and outputs a post-suppression received pulse signal that suppresses the weather clutter;
A target detection unit for detecting the target based on the received pulse signal after suppression;
A radar apparatus comprising: According to the detection result of the target in the target detection unit, comprising an average number control unit for setting the number of times of the beam scanning used for the averaging process,
The radar apparatus according to claim 1, wherein the average processing unit executes the averaging process according to the number of beam scans set by the average number control unit. A folding direction determination unit that determines a folding direction of the first corrected Doppler frequency based on the first corrected Doppler frequency by the plurality of beam scans;
2. The radar according to claim 1, wherein the second aliasing correction unit executes a aliasing correction process for the first corrected Doppler frequency according to the aliasing direction determined by the aliasing direction determination unit. apparatus. A filter shape calculator,
The weather clutter detection unit outputs a frequency width of the weather clutter,
The average processing unit performs an averaging process on the frequency width between the beam scans and outputs an average frequency width value,
The radar apparatus according to claim 1, wherein the filter shape calculation unit calculates a shape of a filter for suppressing the weather clutter using the average frequency width value. Equipped with a maximum value detector,
The weather clutter detection unit outputs the intensity of the weather clutter,
The maximum value detecting unit detects the intensity of the weather clutter and the maximum value of the frequency width of the weather clutter and outputs the maximum intensity value and the maximum frequency width value,
The radar apparatus according to claim 4, wherein the filter shape calculation unit calculates a shape of a filter for suppressing the weather clutter using the maximum intensity value and the maximum frequency width value.

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