CN115877346B - Unmanned aerial vehicle-mounted off-target vector detection method based on two-dimensional phased array radar - Google Patents
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Abstract
The invention relates to off-target detection, in particular to an unmanned aerial vehicle off-target vector detection method based on a two-dimensional phased array radar, which comprises the steps that a signal processing subsystem carries out frequency domain processing on intermediate frequency signals, spectrum peak searching is carried out on frequency domain data, spectrum peak position and phase information are obtained, and the distance of a target object is calculated by utilizing a multi-frequency point-to-phase ranging algorithm; the signal processing subsystem performs two-dimensional simultaneous multi-beam formation on the amplitude-phase data of the azimuth channel and the pitching channel after the amplitude-phase calibration, and calculates the azimuth angle and the pitch angle of the target object respectively through multi-beam comparison amplitude measurement angles; the data processing subsystem performs point trace aggregation on the distance, azimuth angle and pitch angle of the target object, performs multi-array-surface target object parameter space coordinate system conversion, performs track tracking on the converted target object parameters, and realizes off-target vector detection; the technical scheme provided by the invention can effectively overcome the defect that the high-speed small target is difficult to accurately and continuously detect and track in the prior art.
Description
Technical Field
The invention relates to off-target detection, in particular to an unmanned aerial vehicle off-target vector detection method based on a two-dimensional phased array radar.
Background
The development of weaponry is not separated from the range test, and due to the rapid development of modern science and technology, the weaponry is continuously updated, and the update of the weaponry puts higher demands on the range measurement conditions. The performance of shooting weapons and guided weapons can be generally more intensively reflected in the encountering sections of targets and bullets, and in order to analyze error factors of weapon systems by utilizing the data of the encountering sections, the off-target detection device should complete the following specific tasks: identifying the firing or guidance accuracy of the weapon system, recording the encounter with a live object, measuring the moment of detonation, and the relative position and attitude between the target and the weapon. Off-target detection plays a key role in identifying and assessing attack performance and is one of the core contents of the range measurement task.
Because the unmanned airborne miss distance vector detection device needs to be installed at the head part of the target aircraft, the radar needs to be miniaturized and designed with high integration, and meanwhile, the space coverage of the hemispherical surface is realized through a plurality of radar networking modes, and the high-speed small target (rcs=0.01m) 2 V=1300 m/s) and real-time tracking, the detection device needs to have high-speed target detection capability, two-dimensional goniometer capability, and high data refresh rate (1 Hz).
The existing off-target vector detection method mainly adopts a frequency modulation continuous wave one-dimensional phased array system, the range of the non-fuzzy speed measurement is smaller, the problem of distance and speed coupling exists, the high-speed small target cannot be accurately measured, meanwhile, the one-dimensional phased array can only realize one-dimensional angle measurement, and the data refresh rate is lower due to the fact that the one-dimensional phased array is used for realizing large-scale searching and tracking in a phase scanning mode, and the continuous detection and tracking of the high-speed small target are difficult to guarantee.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides an unmanned aerial vehicle off-target vector detection method based on a two-dimensional phased array radar, which can effectively overcome the defects existing in the prior art that high-speed small targets are difficult to accurately and continuously detect and track.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
an unmanned aerial vehicle-mounted off-target vector detection method based on a two-dimensional phased array radar comprises the following steps:
s1, a transmitter subsystem generates multi-frequency continuous waves as transmitting signals, and the transmitting signals are radiated to a corresponding airspace;
s2, a receiver subsystem receives the target echo signal and generates an intermediate frequency signal based on the target echo signal;
s3, the signal processing subsystem performs frequency domain processing on the intermediate frequency signal, performs spectrum peak searching on the frequency domain data, obtains spectrum peak position and phase information, and calculates the distance of the target object by utilizing a multi-frequency point phase-to-phase ranging algorithm;
s4, the signal processing subsystem extracts target amplitude and phase information of an azimuth channel and a pitching channel in the receiver subsystem respectively, and performs amplitude-phase calibration on the azimuth channel and the pitching channel;
s5, the signal processing subsystem performs two-dimensional simultaneous multi-beam formation on the amplitude-phase data of the azimuth channel and the pitching channel after the amplitude-phase calibration, and calculates the azimuth angle and the pitch angle of the target object respectively through multi-beam amplitude-phase measurement;
s6, the data processing subsystem performs point trace condensation on the distance, azimuth angle and pitch angle of the target object, performs multi-array-surface target object parameter space coordinate system conversion, performs track tracking on the converted target object parameters, and realizes off-target vector detection.
Preferably, the transmitter subsystem in S1 generates a multi-frequency continuous wave as a transmission signal, and radiates the transmission signal to a corresponding airspace, including:
the transmitter generates a transmitting signal with corresponding frequency, and the transmitting signal is amplified by the power amplifier and then radiated to a corresponding airspace through the transmitting antenna.
Preferably, the receiver subsystem in S2 receives the target echo signal and generates an intermediate frequency signal based on the target echo signal, including:
the receiving antenna receives a target echo signal, the target echo signal enters the receiver through the low noise amplifier, the receiver mixes the target echo signal and the local oscillator signal to generate an intermediate frequency signal, and the intermediate frequency signal is sent to the signal processing subsystem.
Preferably, the signal processing subsystem in S3 performs frequency domain processing on the intermediate frequency signal, including:
the signal processing subsystem collects signals of intermediate frequency signals through the AD conversion chip, and the FFT of the FPGA chip is called to check the collected signals to carry out frequency domain processing.
Preferably, in S3, performing spectral peak search on the frequency domain data to obtain spectral peak position and phase information, including:
extracting the emission frequencies respectively as
、
Doppler frequency component of echo signal of corresponding target +.>
、
Wherein N represents the number of sampling points;
for a pair of
、
N-point FFT is performed respectively for->
、
Finding the maximum position of the spectral peak for the respective discrete spectrum +.>
、
And obtain the respective initial phase difference +.>
、
；
Calculating the echo phase difference of the ith pair of transmitted signals
For->
Go->
Processing;
after the treatment ofA kind of electronic device
Make a judgment if->
Then->
The method comprises the steps of carrying out a first treatment on the surface of the If->
Then
No processing is required.
Preferably, the calculating the distance of the target object in S3 by using the multi-frequency point-to-phase ranging algorithm includes:
the transmitting signal consists of single-frequency point continuous waves with different frequency points, and the transmitter subsystem is assumed to transmit M pairs of transmitting signals with the frequency difference value of respectively
Corresponding to->
Is +.>
；
Meanwhile, the ambiguity distance measured by the ith pair of transmitted signals is
The distance of the target object is expressed as:
wherein k is i Is a multiple of the maximum non-ambiguous distance, c is the speed of light,
for the i-th pair of echo phase differences of the transmitted signal, is->
；
And combining the motion compensation distance to obtain a final value of the distance of the target object.
Preferably, the signal processing subsystem in S4 extracts the target amplitude and phase information of the azimuth channel and the pitch channel in the receiver subsystem, and performs the amplitude-phase calibration of the azimuth channel and the pitch channel, respectively, including:
performing far-field active calibration on the azimuth channel and the pitching channel in the microwave darkroom, calculating to obtain corresponding amplitude-phase calibration matrixes, and multiplying the target amplitude and phase information of the azimuth channel and the pitching channel by the corresponding amplitude-phase calibration matrixes respectively to perform amplitude-phase calibration.
Preferably, in S6, the data processing subsystem performs point trace condensation on a distance, an azimuth angle and a pitch angle of a target object, performs spatial coordinate system conversion on multiple array surface target object parameters, performs track tracking on converted target object parameters, and realizes off-target vector detection, including:
the signal processing subsystem sends the target object parameters to the data processing subsystem, and the data processing subsystem performs point trace condensation on the distance, azimuth angle and pitch angle of the target object and performs multi-array target object parameter space coordinate system conversion;
and the data processing subsystem performs track tracking on the converted target object parameters and sends track tracking data to the test center.
Compared with the prior art, the unmanned aerial vehicle off-target vector detection method based on the two-dimensional phased array radar has the following beneficial effects:
1) The invention adopts a multi-frequency point continuous wave two-dimensional phased array system, and the multi-frequency point continuous wave can realize the high-speed small target (RCS=0.01m) 2 ，
) Covering and accurately detecting a full airspace within 360 degrees of the axial direction of the target drone;
2) The invention adopts a multi-frequency point continuous wave two-dimensional phased array system, simultaneously carries out two-dimensional simultaneous multi-beam formation based on a two-dimensional multi-channel digital receiving array, realizes simultaneous multi-beam coverage of a detection airspace, plays a role in staring the detection airspace, ensures the angle measurement precision of a target object through multi-beam amplitude-comparison angle measurement, and improves the capability of continuously detecting and tracking a high-speed small target;
3) The working frequency of the transmitter radar is 23-25 GHz, the working bandwidth is large, the transmitting waveform is flexible and adjustable, and the same-frequency interference problem can be effectively solved by setting the working frequency of each transmitter radar in different areas in a frequency hopping mode.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a hardware schematic of the present invention;
FIG. 3 is a timing diagram of a multi-frequency continuous wave according to the present invention;
fig. 4 is a schematic diagram of distribution of transmitting antennas and receiving antennas in the present invention;
FIG. 5 is a schematic diagram of performing spectral peak search on frequency domain data to obtain spectral peak position and phase information in the present invention;
fig. 6 is a waveform diagram of two-dimensional simultaneous multi-beam formation of the amplitude-phase data of the azimuth channel and the pitch channel after the amplitude-phase calibration in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in FIG. 1, (1) a transmitter subsystem generates multi-frequency continuous waves as transmitting signals, and radiates the transmitting signals to corresponding airspace, specifically comprising:
the transmitter generates a transmitting signal with corresponding frequency, and the transmitting signal is amplified by the power amplifier and then radiated to a corresponding airspace through the transmitting antenna.
(2) The receiver subsystem receives the target echo signal and generates an intermediate frequency signal based on the target echo signal, and specifically includes:
the sixteen-channel receiving antenna receives a target echo signal, the target echo signal enters a sixteen-channel receiver through the low-noise amplifier, the sixteen-channel receiver mixes the target echo signal with the local oscillator signal to generate sixteen-channel intermediate frequency signals, and the sixteen-channel intermediate frequency signals are sent to the signal processing subsystem.
(3) The signal processing subsystem performs frequency domain processing on the intermediate frequency signal, performs spectrum peak search on the frequency domain data, acquires spectrum peak position and phase information, and calculates the distance of the target object by utilizing a multi-frequency point-to-phase ranging algorithm.
1) The signal processing subsystem performs frequency domain processing on the intermediate frequency signal, and comprises:
the signal processing subsystem performs signal acquisition on the intermediate frequency signals through the AD conversion chip (wherein each path of AD conversion channel respectively has two groups of 1024-point echo data), and invokes the FFT of the FPGA chip to check the acquired signals for performing frequency domain processing (performing frequency domain processing on the 32 groups of 1024-point echo data).
2) Spectral peak searching is performed on the frequency domain data to obtain spectral peak position and phase information, as shown in fig. 5, including:
extracting the emission frequencies respectively as
、
Doppler frequency component of echo signal of corresponding target +.>
、
Wherein N represents the number of sampling points;
for a pair of
、
N-point FFT is performed respectively for->
、
Finding the maximum position of the spectral peak for the respective discrete spectrum +.>
、
And obtain the respective initial phase difference +.>
、
；
Calculating the echo phase difference of the ith pair of transmitted signals
For a pair of
Go->
Processing;
for the treated
Make a judgment if->
Then->
The method comprises the steps of carrying out a first treatment on the surface of the If->
Then
No processing is required.
3) Calculating the distance of the target object by using a multi-frequency point-to-phase ranging algorithm, comprising:
the transmitting signal consists of single-frequency point continuous waves with different frequency points, and the transmitter subsystem is assumed to transmit M pairs of transmitting signals with the frequency difference value of respectively
Corresponding to->
Is +.>
；/>
Meanwhile, the ambiguity distance measured by the ith pair of transmitted signals is
The distance of the target object is expressed as:
wherein k is i Is a multiple of the maximum non-ambiguous distance, c is the speed of light,
for the i-th pair of echo phase differences of the transmitted signal, is->
；
And combining the motion compensation distance to obtain a final value of the distance of the target object.
(4) The signal processing subsystem extracts target amplitude and phase information of an azimuth channel and a pitching channel connected with the receiver subsystem respectively, and performs amplitude-phase calibration on the azimuth channel and the pitching channel, and specifically comprises the following steps:
performing far-field active calibration on the azimuth channel and the pitching channel (each with eight channels) in the microwave darkroom, calculating to obtain corresponding amplitude-phase calibration matrixes, and multiplying the target amplitude and phase information of the azimuth channel and the pitching channel by the corresponding amplitude-phase calibration matrixes to perform amplitude-phase calibration.
(5) The signal processing subsystem performs two-dimensional simultaneous multi-beam formation (26 beams are formed in a conformal way, as shown in fig. 6) on the amplitude-phase data of the azimuth channel and the pitching channel after the amplitude-phase calibration, and calculates the azimuth angle and the pitch angle of the target object respectively through multi-beam comparison amplitude-phase angle measurement.
(6) The data processing subsystem performs point trace condensation on the distance, azimuth angle and pitch angle of the target object, performs multi-array target object parameter space coordinate system conversion, performs track tracking on the converted target object parameters, and realizes off-target vector detection, and specifically comprises the following steps:
the signal processing subsystem sends the target object parameters to the data processing subsystem, and the data processing subsystem performs point trace condensation on the distance, azimuth angle and pitch angle of the target object and performs multi-array target object parameter space coordinate system conversion;
and the data processing subsystem performs track tracking on the converted target object parameters and sends track tracking data to the test center.
In the technical scheme of the application, 4 sets of unmanned aerial vehicle-mounted off-target vector detection devices (adopting multi-frequency-point continuous wave two-dimensional phased array radar) are arranged around target plane equipment, and full airspace coverage accurate detection within 360 degrees of the target plane is realized. The unmanned aerial vehicle-mounted off-target vector detection device comprises a transmitter subsystem, a receiver subsystem, a signal processing subsystem and a data processing subsystem, as shown in fig. 2:
the transmitter subsystem comprises a single-channel transmitter, a power amplifier and a path of transmitting antenna (microstrip wide beam antenna is adopted to realize airspace coverage of azimuth 120 DEG and pitching 120 DEG);
the receiver subsystem comprises sixteen paths of receiving antennas (adopting a two-dimensional sixteen-channel wide-beam antenna to realize the receiving of target echo signals in the airspace range of 120 DEG azimuth and 120 DEG elevation), a low-noise amplifier and a sixteen-channel receiver;
the signal processing subsystem comprises an FPGA chip and two eight-channel AD conversion chips, realizes signal processing of target echo signals, calculates the distance of a target object by utilizing a multi-frequency point ratio phase ranging algorithm, and calculates the azimuth angle and the pitch angle of the target object by utilizing multi-beam ratio amplitude ranging angles respectively;
and the data processing subsystem is used for performing point trace condensation on the distance, azimuth angle and pitch angle of the target object, performing multi-array-surface target object parameter space coordinate system conversion, and performing track tracking on the converted target object parameters to realize off-target vector detection.
FIG. 3 is a timing diagram of a multi-frequency continuous wave in the present invention, and it can be seen from FIG. 3 that each 1ms is a period, meeting the requirement of high data refresh rate (1 Hz); meanwhile, each transmitting signal consists of single-frequency point continuous waves of 2 different frequency points, and the transmitting frequency points of each transmitting signal in the invention are shown in the following table:
table 1 table of the transmitted frequency points of the transmitted signals
In order to prevent the simultaneous operation of 4 sets of unmanned aerial vehicle off-target vector detection devices from generating co-frequency interference, the transmitting frequency points of each set of radar respectively hop to 100MHz. The transmitting frequency point of the No. 1 radar is
、
The frequency difference is Δf=3 MHz, and according to the multifrequency point continuous wave ranging formula:
it can be known that the corresponding maximum non-blurring distance
The requirement of the ranging range is satisfied.
As shown in fig. 4, in order to ensure that grating lobes do not appear when scanning a beam, certain requirements are placed on the spacing between the receiving antennas. When the beam scans to the maximum beam scanning angle
In order that grating lobes do not appear within the entire scanned beam, then only:
where d represents the spacing between the receiving antennas,
representing the antenna operating wavelength. From the above equation, the larger the antenna scanning angle, the smaller the spacing between the receiving antennas, and the higher the frequency, the smaller the spacing between the receiving antennas should be. Considering the case where the maximum beam scanning angle is 60 °, the spacing between the receiving antennas in the present invention is designed to +.>
。
In order to realize the airspace coverage requirement of +/-60 degrees of azimuth and +/-60 degrees of pitching, and simultaneously ensure the angle measurement precision requirement on a target object, sixteen-channel target echo signals need to be subjected to two-dimensional simultaneous multi-beam formation, so that the simultaneous multi-beam coverage of a detection airspace is realized, and the staring effect of the detection airspace is achieved. The specific two-dimensional simultaneous multi-beam formation strategy is as follows: sixteen channel receivers simultaneously receive the target echo signals, each simultaneously form 13 beams within the range of + -60 deg. in azimuth and elevation, and a total of 26 beams are formed (specific waveforms are shown in fig. 6), and specific directions of the 26 beams are shown in the following table:
table 2 two-dimensional simultaneous multi-beam forming pointing list of resulting beams
| Beam number | Azimuth multibeam pointing (°) | Beam number | Pitching multibeam pointing (°) |
| 1 | -60 | 14 | -60 |
| 2 | -50 | 15 | -50 |
| 3 | -40 | 16 | -40 |
| 4 | -30 | 17 | -30 |
| 5 | -20 | 18 | -20 |
| 6 | -10 | 19 | -10 |
| 7 | 0 | 20 | 0 |
| 8 | 10 | 21 | 10 |
| 9 | 20 | 22 | 20 |
| 10 | 30 | 23 | 30 |
| 11 | 40 | 24 | 40 |
| 12 | 50 | 25 | 50 |
| 13 | 60 | 26 | 60 |
The Doppler frequency shift generated by the target object is extracted by utilizing the FFT spectrum analysis method, so that the radial speed of the target object can be obtained (the radial speed of the target object can be taken as a target object parameter together with the distance, azimuth angle and pitch angle of the target object). As shown in FIG. 3, the radar has a time sequence repetition period of 1 μs and a frequency point
The maximum non-blurring speed in the invention is as follows:
wherein f r The Doppler frequency is calculated after the signal processing subsystem performs frequency domain processing on a group of 1024-point echo data generated by the signal acquisition of the intermediate frequency signal through the AD conversion chip.
Maximum non-ambiguous speed is obtained by the calculation
The requirements for the maximum non-blurring speed being larger than 1300m/s are met, and the maximum non-blurring speed at least reaches 2000 m/s. Meanwhile, the number of points processed in the frequency domain is 1024 points, and the corresponding speed measurement resolution is as follows:
。
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. The unmanned aerial vehicle-mounted off-target vector detection method based on the two-dimensional phased array radar is characterized by comprising the following steps of: the method comprises the following steps:
s1, a transmitter subsystem generates multi-frequency continuous waves as transmitting signals, and the transmitting signals are radiated to a corresponding airspace;
s2, a receiver subsystem receives the target echo signal and generates an intermediate frequency signal based on the target echo signal;
s3, the signal processing subsystem performs frequency domain processing on the intermediate frequency signal, performs spectrum peak searching on the frequency domain data, obtains spectrum peak position and phase information, and calculates the distance of the target object by utilizing a multi-frequency point phase-to-phase ranging algorithm;
s4, the signal processing subsystem extracts target amplitude and phase information of an azimuth channel and a pitching channel in the receiver subsystem respectively, and performs amplitude-phase calibration on the azimuth channel and the pitching channel;
s5, the signal processing subsystem performs two-dimensional simultaneous multi-beam formation on the amplitude-phase data of the azimuth channel and the pitching channel after the amplitude-phase calibration, and calculates the azimuth angle and the pitch angle of the target object respectively through multi-beam amplitude-phase measurement;
s6, the data processing subsystem performs point trace condensation on the distance, azimuth angle and pitch angle of the target object, performs multi-array-surface target object parameter space coordinate system conversion, performs track tracking on the converted target object parameters, and realizes off-target vector detection.
2. The two-dimensional phased array radar-based unmanned aerial vehicle off-target vector detection method is characterized by comprising the following steps of: in S1, the transmitter subsystem generates multi-frequency continuous waves as transmitting signals, and radiates the transmitting signals to corresponding airspace, which comprises the following steps:
the transmitter generates a transmitting signal with corresponding frequency, and the transmitting signal is amplified by the power amplifier and then radiated to a corresponding airspace through the transmitting antenna.
3. The two-dimensional phased array radar-based unmanned aerial vehicle off-target vector detection method is characterized by comprising the following steps of: the receiver subsystem in S2 receives the target echo signal and generates an intermediate frequency signal based on the target echo signal, including:
the receiving antenna receives a target echo signal, the target echo signal enters the receiver through the low noise amplifier, the receiver mixes the target echo signal and the local oscillator signal to generate an intermediate frequency signal, and the intermediate frequency signal is sent to the signal processing subsystem.
4. The two-dimensional phased array radar-based unmanned aerial vehicle off-target vector detection method, according to claim 3, is characterized in that: and S3, the signal processing subsystem carries out frequency domain processing on the intermediate frequency signal, and the method comprises the following steps:
the signal processing subsystem collects signals of intermediate frequency signals through the AD conversion chip, and the FFT of the FPGA chip is called to check the collected signals to carry out frequency domain processing.
5. The two-dimensional phased array radar-based unmanned aerial vehicle off-target vector detection method is characterized by comprising the following steps of: s3, carrying out spectrum peak search on the frequency domain data to obtain spectrum peak position and phase information, wherein the method comprises the following steps:
extracting the emission frequencies respectively as
、
Doppler frequency component of echo signal of corresponding target +.>
、
Wherein N represents the number of sampling points;
for a pair of
、
N-point FFT is performed respectively for->
、
Finding the maximum position of the spectral peak for the respective discrete spectrum +.>
、
And obtain the respective initial phase difference +.>
、
；
Calculating the echo phase difference of the ith pair of transmitted signals
For a pair of
Go->
Processing;
for the treated
Make a judgment if->
Then->
The method comprises the steps of carrying out a first treatment on the surface of the If->
Then->
No processing is required.
6. The two-dimensional phased array radar-based unmanned aerial vehicle off-target vector detection method is characterized by comprising the following steps of: and S3, calculating the distance of the target object by using a multi-frequency point phase-contrast ranging algorithm, wherein the method comprises the following steps of:
the transmitting signal consists of single-frequency point continuous waves with different frequency points, and the transmitter subsystem is assumed to transmit M pairs of transmitting signals with the frequency difference value of respectively
Corresponding to->
Is +.>
；
Meanwhile, the ambiguity distance measured by the ith pair of transmitted signals is
The distance of the target object is expressed as:
wherein k is i Is a multiple of the maximum non-ambiguous distance, c is the speed of light,
for the echo phase difference of the ith pair of transmit signals,
；
and combining the motion compensation distance to obtain a final value of the distance of the target object.
7. The two-dimensional phased array radar-based unmanned aerial vehicle off-target vector detection method is characterized by comprising the following steps of: s4, the signal processing subsystem extracts target amplitude and phase information of an azimuth channel and a pitching channel in the receiver subsystem respectively, and performs amplitude-phase calibration of the azimuth channel and the pitching channel, and the method comprises the following steps:
performing far-field active calibration on the azimuth channel and the pitching channel in the microwave darkroom, calculating to obtain corresponding amplitude-phase calibration matrixes, and multiplying the target amplitude and phase information of the azimuth channel and the pitching channel by the corresponding amplitude-phase calibration matrixes respectively to perform amplitude-phase calibration.
8. The two-dimensional phased array radar-based unmanned aerial vehicle off-target vector detection method is characterized by comprising the following steps of: s6, the data processing subsystem performs point trace condensation on the distance, azimuth angle and pitch angle of the target object, performs multi-array target object parameter space coordinate system conversion, performs track tracking on the converted target object parameters, and realizes off-target vector detection, and comprises the following steps:
the signal processing subsystem sends the target object parameters to the data processing subsystem, and the data processing subsystem performs point trace condensation on the distance, azimuth angle and pitch angle of the target object and performs multi-array target object parameter space coordinate system conversion;
and the data processing subsystem performs track tracking on the converted target object parameters and sends track tracking data to the test center.
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| US4649390A (en) * | 1983-08-05 | 1987-03-10 | Hughes Aircraft Company | Two dimension radar system with selectable three dimension target data extraction |
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