CN111190152B - Design method of spherical surface multi-channel spatial distribution simulation angle - Google Patents
Design method of spherical surface multi-channel spatial distribution simulation angle Download PDFInfo
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- CN111190152B CN111190152B CN202010089691.2A CN202010089691A CN111190152B CN 111190152 B CN111190152 B CN 111190152B CN 202010089691 A CN202010089691 A CN 202010089691A CN 111190152 B CN111190152 B CN 111190152B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/40—Means for monitoring or calibrating
- G01S7/4052—Means for monitoring or calibrating by simulation of echoes
Abstract
The invention discloses a design method of a spherical multi-channel space distribution simulation angle, which comprises the steps of determining the position of a spherical screen with a radar multi-target simulator signal emitting point as a spherical center according to a target distance to be simulated; determining the number N of channels from the target simulator to the horn antennas on the spherical screen and the angles between the adjacent channels, and setting the N horn antennas on the spherical screen according to the determined number of the channels and the angles between the adjacent channels. The invention realizes the simulation of angle information by programming and setting the spatial distribution of multiple channels, and has the advantages of simplicity, flexibility, low cost and easy operation and analysis.
Description
Technical Field
The invention belongs to the technology of radar target simulators, and particularly relates to a design method of a spherical multi-channel spatial distribution simulation angle.
Background
With the development of electronic technology, the performance of radar is continuously improved, and the development of advanced radar is one of the most important tasks in national defense of various countries. In the process of developing the radar, the performance of the radar needs to be detected through multiple experiments, the conventional method is to use an aircraft to perform an external field experiment, test data of the radar is provided, a large amount of resources are wasted, and the rapid development of the radar is not facilitated.
In order to meet the requirements of debugging and testing of radars in the development process, radar target simulators have come to be developed to realize the function of simulating the echoes of targets, and along with the continuous emergence of high-performance radars, the radar target simulators are more required to develop towards multifunctional, multi-channel and multi-target digital intermediate frequency simulators.
The traditional target simulator can simulate information such as target distance, speed, azimuth angle, pitch angle and the like, generally simulates the target distance by adjusting the time delay of signals, simulates the target speed by Doppler frequency shift of a target, and simulates the azimuth angle and pitch angle offset between the beam direction and a target track by controlling the amplitude of target signals. The simulation realization of distance and speed information is mature, but the realization of the angle information simulation method is not flexible enough to realize scheduling, wide-angle scanning is not easy to realize, and the anti-interference capability needs to be improved.
Disclosure of Invention
The invention aims to provide a design method of a spherical surface multichannel spatial distribution simulation angle.
The technical solution for realizing the invention is as follows: a design method for spherical multi-channel spatial distribution simulation angles comprises the following specific steps:
determining the position of a spherical screen with the signal sending points of the radar multi-target simulator as the center of a sphere according to the target distance to be simulated;
determining the number N of channels between the target simulator and the horn antennas on the spherical screen and the angles between the adjacent channels, and arranging the N horn antennas on the spherical screen according to the determined number of channels and the angles between the adjacent channels;
preferably, the specific method for determining the number N of channels from the target simulator to the horn antennas on the spherical screen and the angle between adjacent channels is as follows:
determining the number N of channels from a target simulator to a horn antenna on a spherical screen according to the maximum angle value to be simulated, wherein N is greater than 1;
for the ith angle x [ i ]]Value j from 1 to
Progressively, determining x [ i ] by a recursive function fun (x, f, i)]Taking value, setting a flag value f [ j-1 ]]The initial value is 0, if the value j is not used, then it is recorded with x [ i ]]＝j，f[j-1]=1, call fun (x, f, i + 1) in function;
traversing to obtain total included angle value arrangement, respectively storing the total included angle value arrangement into each row of the matrix y [ n ] [ ], and recording the total arrangement number M; wherein the initial values of i and n are 0, the initial value of j is 1, and the i, n and j are all rounded;
n is increased from 0 to M-1, any continuous sub-array of y [ n ] [ ] is summed, the length L of the sub-array is more than or equal to 1, a simulation angle value corresponding to the value of the n group included angle is obtained, the sum value is stored in each row of a matrix z [ n ] [ ], and the repeated value is recorded only once;
screening the simulation angle value, specifically:
for the matrix z [ n ]][]Separately calculate the ith row, 0<i<n, z in the value set i Probability P (z) of occurrence of ≦ 10 i Less than or equal to 10), takingThe first 2N groups with the maximum probability are output to the matrix p [ N ]][]；
For the matrix p n][]Respectively calculate the ith row, 0<i<n, p in the value set i Variance omega corresponding to value less than or equal to 10 i Taking the first N groups with the minimum variance and outputting the groups to a matrix q [ N ]][]；
Recording the number r of non-zero analog values in each row of the matrix q [ N ] [ ], and outputting the first N/2 groups of analog values s [ N ] [ ] with the maximum number r and the corresponding included angle value as the angle between the adjacent channels.
Preferably, the maximum angle value x is simulated according to the need max The specific method for determining the total channel N comprises the following steps:
setting an initial value N to be 2;
when in use
If true, N is increased by 1, otherwise, N takes the current value
Compared with the prior art, the invention has the following remarkable advantages: the invention realizes the simulation of angle information by programming and setting the spatial distribution of multiple channels, and has the advantages of simplicity, flexibility, low cost and easy operation and analysis.
The present invention is described in further detail below with reference to the attached drawings.
Drawings
Fig. 1 is a schematic diagram of a spherical channel distribution test.
Fig. 2 is a flow chart of a channel distribution selection method.
FIG. 3 is a graph showing the results of example 1.
FIG. 4 is a graph showing the results of example 2.
Detailed Description
A design method for simulating angles of multi-channel spatial distribution of a spherical surface takes signal emitting points of a radar multi-target simulator as a spherical center, horn antennas which are arranged in a certain mode are placed on a corresponding spherical screen, and signals of the radar multi-target simulator are input to an included angle between any two channels of the horn antennas and the spherical center corresponding to the spherical surface where the antennas are located, namely target simulation angles. Through the spatial distribution design of the output channels of the radar multi-target simulator, the purpose that the most angle information distribution is obtained by the channels as few as possible is achieved, and the angle information simulation of multiple targets is completed. The method comprises the following specific steps:
and determining the position of the spherical screen taking the signal sending point of the radar multi-target simulator as the center of a sphere according to the target distance to be simulated.
Confirm the angle between the passageway number N and adjacent passageway between the target simulator to the horn antenna on the spherical screen, set up N horn antenna on the spherical screen according to the passageway number of confirming and angle between the adjacent passageway, promptly:
n channels are distributed from the target simulator to the horn antenna on the spherical screen, and the values of N-1 non-coincident included angles can be selected from
In order to ensure effective utilization of the channel, the included angle value is not allowed to be repeated, the sum of any N (N is more than or equal to 1 and less than or equal to N-1) adjacent included angle values is respectively solved for the whole included angle value scheme, a simulative matrix z of all the angle values is obtained, and further screening is carried out to obtain the channel space distribution s which most meets the requirement, and the specific steps are as follows:
according to the maximum angle value that needs simulation, confirm target simulator to the surface screen on loudspeaker inter-antenna number N of passageway, specifically do:
setting an initial value N to be 2;
when the temperature is higher than the set temperature
If true, N is increased by 1, otherwise, N takes the current value.
For the ith angle x [ i ]]Value j from 1 to
Progressively, determining x [ i ] by a recursive function fun (x, f, i)]Taking value, setting a mark value f [ j-1 ]]The initial value is 0, if the value j is not used, then it is recorded with x [ i ]]＝j，f[j-1]=1, call fun (x, f, i + 1) in function;
traversing to obtain total included angle value arrangement, respectively storing the total included angle value arrangement into each row of the matrix y [ n ] [ ], and recording the total arrangement number M; wherein the initial values of i and n are 0, the initial value of j is 1, and the i, n and j are rounded;
n is increased from 0 to M-1, any continuous sub-array of y [ n ] [ ] is summed, the length L of the sub-array is more than or equal to 1, a simulation angle value corresponding to the value of the n group included angle is obtained, the sum value is stored in each row of a matrix z [ n ] [ ], and the repeated value is recorded only once;
screening the simulation angle value, specifically:
for the matrix z [ n ]][]Respectively calculate the ith row, 0<i<n, z in the value set i Probability P (z) of occurrence of ≦ 10 i Less than or equal to 10), the first 2N groups with the maximum probability are taken and output to the matrix p [ N ]][]；
For the matrix p n][]Respectively calculate the ith row, 0<i<n, p in the value set i Variance omega corresponding to value less than or equal to 10 i Taking the first N groups with the minimum variance and outputting the groups to a matrix q [ N ]][]；
Recording the number r of non-zero analog values in each row of the matrix q [ N ] [ ], and outputting the first N/2 groups of analog values s [ N ] [ ] with the maximum number r and the corresponding included angle value as the angle between the adjacent channels.
For the obtained simulated angle value s, the requirement of the screening process is that the number of values in the interval with smaller value in s is more, and the total number of the simulated angle values is more, so that the system angle resolution can be measured, and the angle information can be comprehensively analyzed.
In some embodiments, for a four-channel simulator, there are three non-coincident included angles: x is a radical of a fluorine atom 1 ,x 2 ,x 3 The obtained simulation angle has x 1 、x 2 、x 3 、x 1 +x 2 、x 2 +x 3 、x 1 +x 2 +x 3 Total 6 data, and only once effective value is recorded with the same value, the number M of the final effective analog value is less than or equal to 6, for x 1 ,x 2 ,x 3 The values are screened and determined according to the process, so that the total number of the finally obtained simulation angle values is the largest, the probability of occurrence in the range of smaller angle values is large, and the distribution is uniform.
After the spatial distribution of channels from the target simulator to the horn antenna is determined, two paths of target simulation signals output by the multi-target simulator are selected, the two paths of target simulation signals are tested through any two channels, the distinguishing condition of the two targets in the angle is observed, and the two paths of target simulation signals are detected through the two paths of target simulation signalsThe angular resolution theta can be determined by continuously adjusting the angular range and finding the critical angle for distinguishing two targets 0 。
The invention determines the spatial distribution of multiple channels, realizes the simulation of angle information, solves the problems that a radar multi-target simulator is difficult to simulate the angle information and the measurement angle resolution is inconvenient, and has simple and flexible method, low cost and easy operation and analysis. By designing the spatial distribution of the signal channels of the radar multi-target simulator, the most angle information distribution is obtained by the fewest channels, the angle information simulation of a plurality of targets is completed, and the angular resolution of the system is conveniently measured.
Example 1
And 5 system channels are selected, and theoretical analysis shows that 4 non-coincident included angles exist, and the maximum achievable simulation angle is 10. After the flow processing of the above design steps, the following 3 optional layouts are obtained:
| numbering | Angular distribution of channels/° | Simulative angle value/° |
| 1 | 1 5 3 2 | 1 2 3 5 6 8 9 10 11 |
| 2 | 1 3 5 2 | 1 2 3 4 5 7 8 9 10 11 |
| 3 | 1 3 2 5 | 1 2 3 4 5 6 7 10 11 |
For the present embodiment, it is obvious that the distribution mode 2 has more simulation values for smaller numerical values and a larger simulation range, and further meets the above requirements. The specific layout is shown in fig. 3. And completing angle information simulation of a plurality of targets according to the distribution mode 2, and further measuring the angular resolution of the system. Selecting two paths of target analog signals output by the multi-target simulator, such as a channel 1 and a channel 3, testing the signals through the two channels, observing the distinguishing condition of the two targets in the angle, continuously adjusting the input channel, and finding out the critical angle theta for distinguishing the two targets 0 And determining the angular resolution.
Example 2
The number of the selected system channels is 6, and theoretical analysis shows that 5 non-coincident included angles exist, and the maximum achievable simulation angle is 15. After the process treatment of the above design steps, the following 4 alternative layouts are obtained:
| number of | Angular distribution of channels/° | Simulatable angle value/° |
| 1 | 13 1 5 2 9 | 1 2 5 6 7 8 9 11 13 14 16 17 19 21 30 |
| 2 | 7 1 3 2 12 | 1 2 3 4 5 6 7 8 11 12 13 14 17 18 25 |
| 3 | 12 1 3 5 2 | 1 2 3 4 5 7 8 9 10 11 12 13 16 21 23 |
| 4 | 1 3 5 2 12 | 1 2 3 4 5 7 8 9 10 11 12 14 19 22 23 |
For the embodiment, through comparison, the distribution mode 3 has more analog values for small numerical values, which is beneficial to measuring the angular resolution and meets the above requirements. The specific layout is shown in fig. 4. And completing angle information simulation of a plurality of targets according to the distribution mode 3, and further measuring the angular resolution of the system. Selecting two paths of target analog signals output by the multi-target simulator, such as a channel 1 and a channel 3, testing the signals through the two channels, observing the distinguishing condition of the two targets in the angle, continuously adjusting the input channel, and finding out the critical angle theta for distinguishing the two targets 0 And determining the angular resolution.
The angle information can be effectively simulated according to the method and the measurement of the angle resolution is also facilitated, and it is obvious to those skilled in the art that the angle information can be modified or changed according to the above description, and all such modifications and changes are intended to fall within the scope of the appended claims.
Claims (1)
1. A design method for spherical multi-channel spatial distribution simulation angles is characterized by comprising the following specific steps:
determining the position of a spherical screen with the signal sending points of the radar multi-target simulator as the center of a sphere according to the target distance to be simulated;
determining the number N of channels between the target simulator and the horn antennas on the spherical screen and the angles between the adjacent channels, and arranging the N horn antennas on the spherical screen according to the determined number of channels and the angles between the adjacent channels;
the specific method for determining the number N of channels from the target simulator to the horn antennas on the spherical screen and the angles between the adjacent channels comprises the following steps:
determining the number N of channels from a target simulator to a horn antenna on a spherical screen according to the maximum angle value to be simulated, wherein N is greater than 1;
for the ith included angle x [ i]Value j from 1 to
Progressively, x [ i ] is determined by a recursive function fun (x, f, i)]Taking value, setting a flag value f [ j-1 ]]The initial value is 0, if the value j is not used, then it is recorded with x [ i ]]＝j，f[j-1]=1, fun (x, f, i + 1) is called in the function;
traversing to obtain total included angle value arrangement, respectively storing the total included angle value arrangement into each row of the matrix y [ n ] [ ], and recording the total arrangement number M; wherein the initial values of i and n are 0, the initial value of j is 1, and the i, n and j are rounded;
n is increased from 0 to M-1, any continuous sub-array of y [ n ] [ ] is summed, the length L of the sub-array is more than or equal to 1, a simulation angle value corresponding to the value of the n group included angle is obtained, the sum value is stored in each row of a matrix z [ n ] [ ], and the repeated value is recorded only once;
screening the simulation angle value, specifically:
for the matrix z [ n ]][]Respectively calculate the ith row, 0<i<n, z in the value set i Probability P (z) of occurrence of ≦ 10 i Less than or equal to 10), the first 2N groups with the maximum probability are taken and output to the matrix p [ N ]][]；
For the matrix p n][]Separately calculate the ith row, 0<i<n, p in the value set i Variance omega corresponding to value less than or equal to 10 i Taking the first N groups with the minimum variance and outputting the groups to a matrix q [ N ]][]；
Recording the number r of non-zero analog values in each row of the matrix q [ N ] [ ], and outputting the front N/2 groups of analog values s [ N ] [ ] with the maximum number r and corresponding included angle values as angles between adjacent channels;
maximum angle value x simulated according to needs max The specific method for determining the total channel N comprises the following steps:
setting an initial value N to be 2;
when the temperature is higher than the set temperature
If true, N is increased by 1, otherwise, N takes the current value. />
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