Adaptive filter fusion detection method for radar targets in dense jamming environment

Abstract

The invention discloses a radar target self-adaptive filter fusion detection method in a dense interference environment, which belongs to the field of radar signal processing. In a dense interference environment where the number and spatial distribution of interference targets are random and unknown, in order to overcome the shortcomings of existing detection methods such as detection performance degradation and poor environmental adaptability, the present invention proposes a radar target adaptive filter fusion in a dense interference environment Detection method; this method establishes an automatic adjustment mechanism for the size of the filter window, uses the unique advantages of the median filter to deal with pulse-shaped interference, and constructs an adaptive median filter to effectively eliminate the interference target samples in the reference unit and eliminate " The adverse effects of "target occlusion" are used, and the remaining pure noise reference data sampling values ​​are fused to form a detection threshold. While maintaining the constant false alarm rate characteristics, it has strong adaptability to dense interference environments and multi-target resolution capabilities.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and in particular relates to a radar target adaptive filter fusion detection method in a dense interference environment. Background technique [0002] Radar is an important tool for detecting targets using radio waves in both military and civilian fields. In the radar target automatic detection system, the automatic detection and the constant false alarm rate (CFAR) technology are usually used in combination, and the output of the matched filter of the detected range unit is compared with the threshold value adapted to the change of the interference background to keep it within the changing Get predictable detection performance and constant false alarm rate in noisy environments. [0003] When the detection unit is used for target detection, if other interfering targets appear in the reference sliding window, the detection threshold of the classic unit average (CA) detector will increase, ...

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Problems solved by technology

[0006] In the dense interference environment where the number of interference targets is unknown, in order to overcome the problems of poor environmental adaptability and detection performance degradation of the existing CFAR detection method, the present invention establishes an automatic adjustment mechanism for the size of the filter window, and effectively eliminates the The jamming target sampling is based on the fusion of the remaining pure noise reference data sampling values ​​to form a detection threshold, and an adaptive filter fusion detection method for radar targets in a dense jamming environment is proposed, which can effectively detect targets while satisfying a constant false alarm probability

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