An Adaptive Adjustment Method of Radar Constant False Alarm Rate Threshold Coefficient
A technology of self-adaptive adjustment and constant false alarm rate, applied in radio wave measurement systems, instruments, etc., can solve problems such as detection loss, and achieve the effect of reducing processing loss, improving detection performance, and improving adaptive performance
Active Publication Date: 2022-07-26
AIR FORCE EARLY WARNING ACADEMY
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However, in the traditional radar processing method, when adjusting the threshold coefficient, the entire detection range will be adjusted at the same time, which will bring unnecessary detection loss to the weak clutter area
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[0023] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0024]In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the indicated device or element must have a...
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The invention relates to an adaptive adjustment method for a constant false alarm rate threshold coefficient of a radar. The method sets high and low threshold coefficients for a constant false alarm detection method, establishes a threshold coefficient adjustment α-RAG map, and adjusts the α-RAG map according to different regions and different Doppler values. According to the pre-detection statistics of the filter channel, the update criterion of the α-RAG map of each antenna scanning frame is designed, and then the corresponding threshold coefficient α is selected according to the α-RAG map, multiplied by the background clutter estimation level as the threshold, Make a detection decision. According to the background noise or clutter strength in different areas, the method can realize the adaptive and fine adjustment of threshold coefficients for different areas and different Doppler filter channels on the basis of environmental background estimation adaptation, so that it can be Further increase or decrease the detection threshold: set a high threshold in the strong clutter area to reduce the number of false alarms; set a low threshold in the weak clutter area to increase the detection probability. The method has strong adaptability to various backgrounds and further improves the detection performance of radar.
Description
technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a method for adjusting a constant false alarm rate threshold in a complex background; through the method, the refined and adaptive adjustment of the radar detection threshold is realized, and the false alarm in the strong clutter region is reduced. The detection performance is improved by reducing the number of alarms and processing losses in weak clutter regions. Background technique [0002] At present, Constant False Alarm Rate (CFAR) detection is one of the important links in radar signal processing, and it plays an indispensable role in automatic detection. The basic process of CFAR processing is: according to a certain criterion, according to the strength of noise and clutter to obtain the environmental estimate level Z, and multiply the estimate by a threshold coefficient as the final detection threshold. The key to CFAR processing is to design...
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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 曲智国李志淮费太勇王红张伟李世飞王洪林唐瑭赵欣巫勇
Owner AIR FORCE EARLY WARNING ACADEMY