An Online Radar Target Detection Method Based on Region Similarity
A radar target and detection method technology, applied in the field of online radar target detection and radar target detection based on regional similarity, can solve the problems of difficult selection of reference units, affecting detection performance, reference unit pollution, etc., to avoid target or interference, The effect of improving detection performance and improving estimation accuracy
Active Publication Date: 2019-11-01
XIDIAN UNIV
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However, these two assumptions are difficult to hold in practice, and the adjacent reference units are often polluted by interference targets, large clutter blocks and other abnormal conditions
Therefore, only a few reference units can be selected on both sides of the unit to be detected as samples for estimating the clutter power level of the unit to be detected, and it is more difficult to select reference units in the non-uniform and non-stationary clutter area
If the reference unit is unreasonably selected, the detection performance will be greatly reduced, and the detection performance will be worse at the edge of some clutter or at the junction of two strong and weak clutters.
In order to solve the above-mentioned problem that the reference unit is difficult to select, researchers have improved the AMF detection method. For example, the authorized announcement number is CN 103995258 B, and the Chinese patent titled "Radar Target Adaptive Fusion Detection Method in Clutter Edge Environment" is published. A radar target adaptive fusion detection method in the clutter edge environment is proposed. The method is based on the difference of adjacent reference units for uniformity judgment. Based on the relative position of the unit, a uniform reference unit that can represent the clutter background of the unit to be detected is screened out, and the detection threshold is formed after fusion
However, the disadvantage of this method is that when selecting a uniform reference unit that can represent the clutter background of the unit to be detected, it cannot guarantee that the clutter background of the reference unit is the same as that of the unit to be detected, and if there is a target or interference in the reference unit, it will also These factors lead to large errors in the estimation of the clutter covariance matrix, which ultimately affects the performance of detection
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[0046] Below in conjunction with the accompanying drawings and specific embodiments, the present invention is described in further detail:
[0047] refer to figure 1 , an online radar target detection method based on regional similarity, including the following steps:
[0048] Step 1) Obtain the correlation coefficient matrix (ρ) of each resolution unit and different target steering vectors in the echo of the 0th frame. ij ) n·m :
[0049] Step 1a) Record the data received by the radar at the current moment as the 0th frame echo x(0), and divide the 0th frame echo x(0) with the number of pulses within a coherent processing CPI time as an interval, get n resolution units x 1 (0),...x i (0),...x n (0), where x i (0) represents the ith resolution unit in the echo of the 0th frame. In this example, the number of pulses in a coherent processing CPI time is 23;
[0050] Step 1b) Set m target reference speeds v 1 ,...v j ,...v m , and calculate the target steering vectors ...
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The invention discloses a region similarity based online radar target detection method and solves a problem of poor target detection performance in complex clutter backgrounds such as a inhomogeneousclutter region, clutter edges or junctions of two kinds of strong and weak clutters. The implementation steps include acquiring a correlation coefficient matrix of different resolution elements in the0 frame of echo waves and different target-oriented vectors; removing suspected targets in the 0 frame of echo waves by utilizing the correlation coefficient matrix; performing K mean value clustering on Doppler spectrum of the 0 frame of echo wave data free of the suspected targets; removing suspected targets in echo waves newly received by a radar; performing online update on type labels of the resolution elements in the clustering result; performing pre-treatment on the echo waves newly received by the radar; acquiring a transition reference element sample and performing expansion on the sample; calculating detection statistical magnitude and a threshold value Alpha; performing detection on to-be-detected data xD. The method provided by the invention improves estimation precision of the detection statistical magnitude of the to-be-detected element, so that the detection performance is improved.
Description
technical field [0001] The invention belongs to the technical field of radar signal processing, and relates to a radar target detection method, in particular to an online radar target detection method based on regional similarity, which can be used to improve the detection performance of a radar target in a non-uniform clutter background. [0002] technical background [0003] Radar is an all-day, all-weather sensor that can be installed on various platforms such as vehicles, aircraft and satellites, and has important application value in military and civilian applications. As the main electronic information equipment, radar plays an important role in information acquisition and precision guidance in the modern battlefield. The radar target detection has always been the key technology of radar system design. As the most basic and important function of radar, it has always been valued by the military and scholars. [0004] At present, the existing radar target detection metho...
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IPC IPC(8): G01S7/40
CPCG01S7/4052
Inventor 陈渤汪斌万锦伟杨阳
Owner XIDIAN UNIV