Signal detection method and system based on manifold filtering and JBLD divergence
A signal detection and manifold technology, applied in sonar signal detection and radar fields, can solve problems such as failure to achieve detection performance, and achieve the effects of avoiding detection performance loss, improving performance, and improving differentiation
Active Publication Date: 2021-08-27
NAT UNIV OF DEFENSE TECH
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Compared with the constant false alarm detector based on fast Fourier transform, the signal detection method based on matrix manifold has a certain improvement in the detection performance under clutter, but it still fails to achieve the ideal detection performance
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[0053] The experimental results will be described in detail below in conjunction with specific embodiments.
[0054] Such as figure 1 As shown, the signal detection method based on manifold filtering and JBLD divergence in this embodiment includes:
[0055] 1) Input the sample data of multiple distance units; the distance unit corresponds to the resolution distance of the radar, and the corresponding sample data will be collected for each resolution distance, and the distance units corresponding to different radars are different, determined by the bandwidth of the signal .
[0056] 2) Calculate the Toeplitz positive definite matrix of each sample data;
[0057] 3) For each distance unit i, take the M Toeplitz positive definite matrices on the left and right sides of the distance unit i and the Toeplitz positive definite matrix corresponding to the distance unit i to form the first matrix set, and calculate the first matrix corresponding to the distance unit i The weighted a...
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The invention discloses a signal detection method and system based on manifold filtering and JBLD divergence. The method comprises the following steps of calculating a Toeplitz positive definite matrix of each piece of sample data, for each distance unit i, taking 2M Toeplitz positive definite matrixes on the left and right sides of the distance unit i and the Toeplitz positive definite matrix of the distance unit i to form a first matrix set, and calculating a weighted average filtering matrix of the first matrix set and filtering to execute filtering, taking 2N Toeplitz positive definite matrixes left and right away from the unit i after filtering to form a second matrix set, and calculating a JBLD divergence mean matrix of the second matrix set, and determining whether a target exists in a corresponding distance unit according to whether the JBLD divergence between the Toeplitz positive definite matrix and the JBLD divergence mean matrix of the second matrix set exceeds a detection threshold. According to the method, clutter energy can be effectively reduced, the discrimination between a target and clutter is improved, the signal-to-clutter ratio is further improved, and particularly, the method has relatively good detection performance under the condition of low signal-to-clutter ratio.
Description
technical field [0001] The invention relates to radar and sonar signal detection technology, in particular to a signal detection method and system based on manifold filtering and JBLD divergence. Background technique [0002] Radar and sonar signal detection usually distinguish targets from background clutter based on characteristics such as the amplitude or correlation of the data received by the receiver (that is, sample data). Improving the distinction between the characteristics of the target and the clutter is the key to improving the detection performance of radar and sonar signals. In order to improve the distinction between the characteristics of the target and the clutter, in recent years, Babaresco, a researcher at Thales Aerodynamics Laboratory in France, proposed a signal detection method based on matrix manifolds (J. Lapuyade-Lahorgue and F. Barbaresco.:'Radar detection using Siegel distance between auto-regressive processes, application to HF and X-band radar'...
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IPC IPC(8): G01S13/04
CPCG01S13/04
Inventor 华小强程永强王宏强周鹤峰王勇献
Owner NAT UNIV OF DEFENSE TECH