Self-adaption constant false alarm rate (CFAR) fusion detection method aiming at multi-target background radar

A technology of constant false alarm rate and fusion method, applied in radio wave measurement systems, instruments, etc., can solve the problems of detection performance degradation and high computational complexity, and achieve the effect of strong false alarm control ability and multi-target resolution ability

Active Publication Date: 2013-05-01
NAVAL AVIATION UNIV
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Problems solved by technology

[0005] In the multi-target situation where the number of interference targets is unknown, in order to overcome the problems of the existing CFAR detection method, such as detection performance degradation or high computational complexity, the present invention proposes a simple and effective adaptive CFAR fusion detection method, which can automatically determine the interference target number, effectively eliminate the interferenc

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  • Self-adaption constant false alarm rate (CFAR) fusion detection method aiming at multi-target background radar
  • Self-adaption constant false alarm rate (CFAR) fusion detection method aiming at multi-target background radar
  • Self-adaption constant false alarm rate (CFAR) fusion detection method aiming at multi-target background radar

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[0028] After the signal returned from the radar antenna is amplified and mixed, it is sent to the matched filter (1) for energy accumulation, and the accumulated signal is sampled according to the distance resolution unit of the radar to obtain a sequence x with a length of 2M+1 1 ,...,x M ,D,x M+1 ..., x 2M , and send the sequence to the M shift registers (2_1) to (2_M) of the leading edge sliding window, the shift register (3) of the unit to be detected and the M shift registers (4_1) to (4_1) of the trailing edge sliding window (4_M). The 2M data (x m , m=1, 2, ..., 2M) are sent into the interfering target automatic deletion processor (5), according to formula (1) and formula (2) respectively calculate the mean value estimated value of all data in the detection sliding window and variance estimates , and then for all 2M data (x m , m=1, 2,..., 2M) After screening and elimination, the data satisfying formula (3) will be eliminated from the reference unit, leaving 2M-...

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Abstract

The invention discloses a self-adaption constant false alarm rate (CFAR) fusion detection method aiming at a multi-target background radar, belonging to the field of radar signal processing. Under the background that the number of interference targets is unknown and for purpose of solving the problems that the existing CFAR detection method causes the reduction of detection performances or overhigh calculation complexity, the invention provides a simple and effective self-adaption CFAR fusion detection method. The method comprises the steps: automatically determining the number of interference targets according to Gaussian distributed 3-Sigma rules; based on the evaluated number of the interference targets, effectively rejecting an interference target sample in a reference unit, removing the adverse influence of the interference targets, and fusing the remaining pure clutter sampling value to form a detection threshold. The method can be used for detecting multiple targets while meeting the CFRA, has strong false alarm control capability and multi-target resolution capability, is simple to calculate and convenient for engineering realization, and has popularization and application values.

Description

1. Technical field [0001] The invention belongs to the field of radar signal processing, and in particular relates to a radar adaptive constant false alarm rate fusion detection method under the background of multiple targets. 2. Background technology [0002] Radar is a tool that uses radio waves to detect targets. Its main purpose is to detect useful targets in the presence of interference. Generally speaking, the radar target automatic detection system compares the output of the matched filter with the threshold value adapted to the change of the interference background in the selected resolution unit to obtain the automatic target detection capability with constant false alarm rate (CFAR). In other words, the purpose of CFAR design is to provide a detection threshold that is relatively immune to background noise, clutter, and interference changes, and to enable automatic detection with a constant false alarm probability. [0003] The Cell Average (CA)-CFAR detection met...

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Application Information

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IPC IPC(8): G01S7/41
Inventor 简涛何友苏峰关键平殿发黄晓冬顾新锋
Owner NAVAL AVIATION UNIV
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