CN110988831A - Parameter adjustable detector for signal mismatch in clutter and interference coexistence environment - Google Patents
Parameter adjustable detector for signal mismatch in clutter and interference coexistence environment Download PDFInfo
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- 238000012549 training Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims abstract description 6
- 238000000354 decomposition reaction Methods 0.000 claims description 2
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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
- G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
- G01S7/414—Discriminating targets with respect to background clutter
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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
- G01S7/36—Means for anti-jamming, e.g. ECCM, i.e. electronic counter-counter measures
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Abstract
The invention discloses a target detection method for solving the problem of signal mismatching of a multi-channel airborne active phased array radar in a clutter and interference coexistence environment. The method introduces adjustable parameters, and realizes flexible detection of the mismatch signals by adjusting the adjustable parameters. Firstly, a sampling covariance matrix is formed by utilizing a training sample, then the sampling covariance matrix is used for carrying out quasi-whitening on data to be detected, an interference matrix and a signal matrix, and the interference matrix, the signal matrix and the data to be detected after the quasi-whitening are utilized to combine adjustable parameters to form a parameter adjustable detector. The detector designed by the invention can simultaneously realize clutter suppression, interference suppression and target detection, has the constant false alarm characteristic, does not need additional constant false alarm processing steps, can flexibly detect mismatched signals, and can realize steady detection of the mismatched signals by reducing adjustable parameters while suppressing clutter and interference; conversely, the mismatch signal can be suppressed by increasing the adjustable parameter.
Description
Technical Field
The invention relates to a parameter adjustable detector for signal mismatch in a clutter and interference coexistence environment, which is particularly suitable for a multi-channel airborne active phased array radar.
Background
The airborne radar can overcome the influence of the curvature of the earth and provide earlier early warning time due to the fact that the airborne platform is lifted off. However, the movement of the airborne radar causes the Doppler frequency of the ground sea clutter of the radar to be seriously broadened, and the intensity of the ground sea clutter is large, so that the detection performance of the airborne radar is seriously influenced. Meanwhile, the working environment of the airborne radar is often interfered by enemy, other co-frequency radars of the own party or interference caused by industrial production. In addition, due to the reason of radar antenna array processing and installation industry, the radar antenna often has array errors, so that signal mismatch is caused, namely the actual guide vector of the target is inconsistent with the assumed value of the system. Therefore, in order to achieve effective target detection, the airborne radar must simultaneously overcome clutter and interference, and take into account the adverse effects of signal mismatch.
Disclosure of Invention
The invention aims to solve the problem of target detection of a multi-channel airborne active phased array radar in signal mismatch in a clutter and interference coexistence environment.
In order to achieve the above object, the present invention provides a design method of a parameter adjustable detector, which comprises the following steps:
(1) forming a sampling covariance matrix by using the training samples;
(2) carrying out quasi-whitening on data to be detected, an interference matrix and a signal matrix by using a sampling covariance matrix;
(3) forming an orthogonal projection matrix orthogonal to the interference by using the interference matrix after the quasi-whitening;
(4) calculating the projection of the signal matrix after the quasi-whitening in a projection space orthogonal to the interference, and calculating an orthogonal projection matrix of the projection;
(5) calculating the energy of the data to be detected after the quasi-whitening in a projection space orthogonal to the interference;
(6) calculating the energy of the data to be detected after the quasi-whitening in the orthogonal projection space in the step (4);
(7) determining adjustable parameters according to system requirements, and forming a parameter adjustable detector by using results in the steps (5) and (6);
(8) and calculating a detection threshold and comparing the detection threshold with the detection statistic of the detector, judging that the target exists if the detection statistic is greater than the detection threshold, and otherwise judging that the target does not exist.
The invention has the advantages that:
(1) the detector designed by the invention can simultaneously realize clutter suppression, interference suppression and target detection.
(2) The detector designed by the invention has the constant false alarm characteristic, and does not need additional constant false alarm processing steps.
(3) The detector designed by the invention can flexibly detect the mismatched signals, and can realize steady detection of the mismatched signals by reducing adjustable parameters while inhibiting clutter and interference; conversely, the mismatch signal can be suppressed by increasing the adjustable parameter.
Drawings
Fig. 1 is a block diagram of the structure of an embodiment of the present invention. The processing procedures of sampling covariance matrix calculation, quasi-whitening processing, orthogonal projection matrix calculation and the like in the graph can be realized on a general programmable signal processing board in a programming way.
Detailed Description
The principle of implementing the invention is as follows: forming a sampling covariance matrix by using training samples received by an airborne radar, and performing quasi-whitening processing on data to be detected, a signal matrix and an interference matrix by using the sampling covariance matrix to eliminate clutter; selecting reasonable adjustable parameters, and forming detection statistics of a detector by using the data after the quasi-whitening; determining a detection threshold according to a preset false alarm probability; and comparing the detection statistic of the detector with the detection threshold, judging that the target exists if the former is higher than the latter, and otherwise, judging that the target does not exist.
The detailed steps of the invention are as follows:
(1) for an airborne radar with N antenna channels, echo data of front and rear L distance units to be detected are utilized to form a sampling covariance matrix
Wherein x islIs the ith training sample with dimension Nx 1, N is the number of system channels, L is the number of training samples, superscript (. cndot.)HIs a conjugate transpose.
(2) And (3) carrying out quasi-whitening on the data x to be detected, the interference matrix J and the signal matrix H by using a sampling covariance matrix S, namely:
wherein S is-1/2＝UΛ-1/2UHU is unitary matrix in S characteristic decomposition, and Λ ═ diag (λ)1，λ2，...，λN) For corresponding diagonal matrices, λnN is 1, 2, …, N, diag (·) represents a diagonal matrix,
x is Nx1 dimension data to be detected, J is an Nxq dimension interference matrix, and H is an Nxp dimension signal matrix.
(3) Using quasi-whitened interference matrices
Forming an orthogonal projection matrix orthogonal to the interference, wherein the expression is as follows:
(4) computing a signal matrix after quasi-whitening
Projecting in a projection space orthogonal to the interference and calculating an orthogonal projection matrix of the projection, expressed as
(5) Calculating quasi-whitened data to be detected
The energy in the projection space orthogonal to the interference is expressed as
(6) Calculating quasi-whitened data to be detected
The energy in the orthogonal projection space in the step (4) is expressed by
(7) Determining adjustable parameters according to system requirements, and forming a parameter adjustable detector by using the results in the steps (5) and (6), wherein the expression is
Wherein, k is a non-negative adjustable parameter, if the detector is expected to have a steady detection characteristic to the mismatch signal, the adjustable parameter can be selected in the interval 0 & lt k & lt 1, and the smaller k is, the more the detector is steady; if the detector is expected to have mismatch sensitivity to mismatch signals (i.e., suppress mismatch signals), the tunable parameter should satisfy k > 1, and the larger k, the more mismatch sensitive the detector, but k should not be too large, and the range k < 3 should be satisfied.
(8) The detection threshold η is calculated by a numerical method shown in the following equation
Wherein PFA represents a preset false alarm probability,
η is a detection threshold for the signal to be detected,
(. The) represents factorial, Δ β and βiThe calculation is divided into the following three cases:
a. when k is 0. ltoreq. kappa.ltoreq.1 and η > 1
b. When k is greater than 1 and η is less than or equal to 1
c. When k > 1 and η > 1
After obtaining the detection threshold, the detection threshold is compared with the detection statistic t of the detectorDetectorAnd comparing, if the detection statistic is larger than the detection threshold, judging that the target exists, otherwise, judging that the target does not exist.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various changes or modifications within the scope of the appended claims.
Claims (8)
1. The detector with adjustable parameters when signals are mismatched in a clutter and interference coexistence environment comprises the following technical steps:
(1) forming a sampling covariance matrix by using the training samples;
(2) carrying out quasi-whitening on data to be detected, an interference matrix and a signal matrix by using a sampling covariance matrix;
(3) forming an orthogonal projection matrix orthogonal to the interference by using the interference matrix after the quasi-whitening;
(4) calculating the projection of the signal matrix after the quasi-whitening in a projection space orthogonal to the interference, and calculating an orthogonal projection matrix of the projection;
(5) calculating the energy of the data to be detected after the quasi-whitening in a projection space orthogonal to the interference;
(6) calculating the energy of the data to be detected after the quasi-whitening in the orthogonal projection space in the step (4);
(7) determining adjustable parameters according to system requirements, and forming a parameter adjustable detector by using results in the steps (5) and (6);
(8) and calculating a detection threshold and comparing the detection threshold with the detection statistic of the detector, judging that the target exists if the detection statistic is greater than the detection threshold, and otherwise judging that the target does not exist.
2. The detector of claim 1, wherein the sampling covariance matrix in step (1) is
Wherein x islIs the ith training sample with dimension Nx 1, N is the number of system channels, L is the number of training samples, superscript (. cndot.)HIs a conjugate transpose.
3. The tunable parameter detector for detecting signal mismatch in clutter and interference co-existing environment as claimed in claim 1, wherein the quasi-whitening of the data to be detected, the interference matrix and the signal matrix in step (2) is performed respectively
And
wherein S is-1/2＝UΛ-1/2UHU is unitary matrix in S characteristic decomposition, and Λ ═ diag (λ)1，λ2，...，λN) For corresponding diagonal matrices, λnN is 1, 2, …, N, diag (·) represents a diagonal matrix,
x is Nx1 dimension data to be detected, J is an Nxq dimension interference matrix, and H is an Nxp dimension signal matrix.
4. The tunable parameter detector for detecting the mismatch of signals in the co-existence of clutter and interference according to claim 1, wherein the projection of the quasi-whitened signal matrix in the projection space orthogonal to the interference is calculated in step (4), and the orthogonal projection matrix of the projection is calculated, which is expressed as
Wherein,
5. the tunable parameter detector for detecting the presence of signal mismatch in the co-existence of clutter and interference according to claim 1, wherein the energy of the quasi-whitened data to be detected in the projection space orthogonal to the interference is calculated in step (5) and expressed as
6. The tunable parameter detector for detecting the presence of signal mismatch in the co-existence of clutter and interference according to claim 1, wherein the energy of the quasi-whitened data to be detected in the orthogonal projection space in step (4) is calculated in step (6) and expressed as
7. The tunable parameter detector for detecting signal mismatch in clutter and interference co-existing environment as claimed in claim 1, wherein the expression of the tunable parameter detector in step (7) is
Wherein, k is a non-negative adjustable parameter, if the detector is expected to have a steady detection characteristic to the mismatch signal, the adjustable parameter can be selected in the interval 0 & lt k & lt 1, and the smaller k is, the more the detector is steady; if the detector is expected to have mismatch sensitivity to mismatch signals (i.e., suppress mismatch signals), the tunable parameter should satisfy k > 1, and the larger k, the more mismatch sensitive the detector, but k should not be too large, and the range k < 3 should be satisfied.
8. The tunable parameter detector for signal mismatch in clutter and interference co-existence environment as claimed in claim 1, wherein the detection threshold in step (8) is obtained by a numerical search method, i.e. the detection threshold is obtained by using a numerical search method
Wherein PFA represents a preset false alarm probability,
η is a detection threshold for the signal to be detected,
(. The) represents factorial, Δ β and βiThe calculation is divided into the following three cases:
a. when k is 0. ltoreq. kappa.ltoreq.1 and η > 1
b. When k is greater than 1 and η is less than or equal to 1
c. When k > 1 and η > 1
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Cited By (8)
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| CN111948634A (en) * | 2020-07-19 | 2020-11-17 | 中国人民解放军空军预警学院 | Target detection method and device based on covariance matrix reconstruction under interference condition |
| CN112558015A (en) * | 2021-02-23 | 2021-03-26 | 中国人民解放军空军预警学院 | Method and system for interference suppression before self-adaptive detection in complex electromagnetic environment |
| CN112799022A (en) * | 2021-04-08 | 2021-05-14 | 中国人民解放军空军预警学院 | Extended target detection method and system in non-uniform and interference environment |
| CN112834999A (en) * | 2020-12-29 | 2021-05-25 | 中国人民解放军空军预警学院 | Radar target constant false alarm detection method and system when interference direction is known |
| CN112835000A (en) * | 2020-12-29 | 2021-05-25 | 中国人民解放军空军预警学院 | Self-adaptive detection method under non-uniform clutter and interference condition |
| CN113267758A (en) * | 2021-07-16 | 2021-08-17 | 中国人民解放军空军预警学院 | Target detection method and system in presence of interference in composite Gaussian environment |
| CN116112323A (en) * | 2021-11-10 | 2023-05-12 | 大唐移动通信设备有限公司 | Interference suppression method, device, equipment and storage medium |
| CN116819480A (en) * | 2023-07-17 | 2023-09-29 | 中国人民解放军空军预警学院 | Self-adaptive target detection method and system in strong clutter of airborne radar |
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Cited By (14)
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| CN111948634A (en) * | 2020-07-19 | 2020-11-17 | 中国人民解放军空军预警学院 | Target detection method and device based on covariance matrix reconstruction under interference condition |
| CN112834999B (en) * | 2020-12-29 | 2022-06-28 | 中国人民解放军空军预警学院 | Radar target constant false alarm detection method and system when interference direction is known |
| CN112834999A (en) * | 2020-12-29 | 2021-05-25 | 中国人民解放军空军预警学院 | Radar target constant false alarm detection method and system when interference direction is known |
| CN112835000A (en) * | 2020-12-29 | 2021-05-25 | 中国人民解放军空军预警学院 | Self-adaptive detection method under non-uniform clutter and interference condition |
| CN112835000B (en) * | 2020-12-29 | 2022-05-20 | 中国人民解放军空军预警学院 | Self-adaptive detection method under non-uniform clutter and interference condition |
| CN112558015B (en) * | 2021-02-23 | 2021-09-07 | 中国人民解放军空军预警学院 | Method and system for interference suppression before self-adaptive detection in complex electromagnetic environment |
| CN112558015A (en) * | 2021-02-23 | 2021-03-26 | 中国人民解放军空军预警学院 | Method and system for interference suppression before self-adaptive detection in complex electromagnetic environment |
| CN112799022A (en) * | 2021-04-08 | 2021-05-14 | 中国人民解放军空军预警学院 | Extended target detection method and system in non-uniform and interference environment |
| CN113267758A (en) * | 2021-07-16 | 2021-08-17 | 中国人民解放军空军预警学院 | Target detection method and system in presence of interference in composite Gaussian environment |
| CN113267758B (en) * | 2021-07-16 | 2021-09-24 | 中国人民解放军空军预警学院 | Target detection method and system in presence of interference in composite Gaussian environment |
| CN116112323A (en) * | 2021-11-10 | 2023-05-12 | 大唐移动通信设备有限公司 | Interference suppression method, device, equipment and storage medium |
| CN116112323B (en) * | 2021-11-10 | 2024-06-07 | 大唐移动通信设备有限公司 | Interference suppression method, device, equipment and storage medium |
| CN116819480A (en) * | 2023-07-17 | 2023-09-29 | 中国人民解放军空军预警学院 | Self-adaptive target detection method and system in strong clutter of airborne radar |
| CN116819480B (en) * | 2023-07-17 | 2024-05-24 | 中国人民解放军空军预警学院 | Self-adaptive target detection method and system in strong clutter of airborne radar |
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