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Radar target detection method based on full KL divergence

A KL divergence and radar target technology, applied in the field of signal detection, can solve problems such as failure to achieve the detection effect, and achieve the effects of avoiding detection performance loss, low computational complexity, and simple detection principle

Active Publication Date: 2019-01-04
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

Compared with the fast Fourier transform constant false alarm rate detector, this detection method avoids the problem of detection performance degradation due to spectrum leakage, and its detection performance has been greatly improved, but it still does not achieve the ideal detection effect

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  • Radar target detection method based on full KL divergence
  • Radar target detection method based on full KL divergence
  • Radar target detection method based on full KL divergence

Examples

Experimental program
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Effect test

Embodiment 1

[0054] Embodiment one: the result of simulation experiment is as follows Figure 2 to Figure 4 As shown, this simulation experiment uses the full KL divergence distance and the existing Riemann distance to calculate the normalized detection statistic in each distance cell.

[0055] Embodiment 1 is to simulate the results of radar echo data including target signals, calculate the normalized detection statistics corresponding to the full KL divergence distance of the radar echo data, and the normalized detection statistics corresponding to the existing Riemann distance The detection statistics are compared. Relevant parameter setting is: utilize shape parameter to be 1.5, the K distribution simulation that scale parameter is 1 produces a bunch of distance unit number is I=17, the clutter data of sample number (that is: signal pulse number) N=7, takes 16 Hermitian positive definite matrices adjacent to each distance unit form a matrix set, and its corresponding full KL divergenc...

Embodiment 2

[0057] Embodiment two: the result of simulation experiment is as follows Figure 5 As shown, this simulation experiment is to compare the detection performance of the detection method based on the Riemann distance and the present invention. At a given false alarm probability P fa Under the condition of , the simulation experiment counts the detection results of 200 clusters of echo data, and calculates the correct probability of detection.

[0058] Embodiment 2 The parameters related to the simulation experiment are set as follows: use the K distribution with a scale parameter of 1 and a shape parameter of 1.5 to simulate 200 clusters of clutter data, each cluster of clutter data includes the number of distance units I=17, and the number of samples N=7 . Take the Hermitian positive definite matrices corresponding to the 16 distance cells adjacent to each distance cell to form a matrix set, and calculate its corresponding full KL divergence median matrix. In the ninth range ...

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Abstract

The invention belongs to the field of signal detection, in particular to a radar target detection method based on full KL divergence. The main steps are that the radar echo data in each range unit ismodeled as a Hermite positive definite matrix, the full KL divergence distance between the values of the matrix of each range unit and the corresponding matrixes of the surrounding units is calculatedso as to obtain a one-dimensional range profile; and the magnitude between the amplitude value corresponding to each range unit and the detection threshold is compared so as to determine existence ofthe target. The sample data in each range unit is modeled as the Hermite positive definite matrix, and the magnitude of the elements in the matrix represents the correlation intensity between the sample data and the Doppler information of the sample data. The matrix model can avoid the loss of detection performance caused by the spectrum leakage of Fast Fourier Transform. The radar target detection method based on full KL divergence has low computational complexity, simple detection principle and good detection performance.

Description

technical field [0001] The invention belongs to the field of signal detection, in particular to radar target detection technology, and more specifically relates to a radar target detection method based on full KL divergence. Background technique [0002] Moving target detection under the condition of small samples is a very challenging problem in radar signal processing. Usually, the Doppler information of echo data is the main basis for radar to distinguish moving targets from clutter background. Fast Fourier transform constant false alarm rate detector (reference 1: M.A.Richards, Fundamentals of Radar Signal Processing, Second Edition, McGraw-Hill, 2014) is a moving target detection method based on Doppler information, which uses The fast Fourier transform is used to obtain the Doppler information of the echo data, so as to realize the distinction between the target and the clutter background. Under the condition of small samples, the fast Fourier transform sidelobe is h...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/411G01S7/414
Inventor 程永强华小强王宏强吴昊拓世英
Owner NAT UNIV OF DEFENSE TECH
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