Clutter map constant false alarm method based on multi-frame dual-threshold two-stage detection mechanism

Abstract

The invention discloses a clutter map constant false alarm method based on a multi-frame dual-threshold two-stage detection mechanism. The clutter map constant false alarm method comprises the following steps that the clutter power estimation values of all the detection units in a radar scanning image are initialized; the measurement values of all the detection units of the current radar scanning image are acquired; the high threshold and low threshold of the first stage detection of each detection unit in the current scanning image are calculated; the statistical quantity of the first stage detection is determined according to the size relation between the measurement values of the detection units and the high threshold and low threshold; the statistical quantity of the first stage detection of each detection unit is stored in a shift register; summation of the statistical quantity of all the first stage detection of all the shift registers is performed so that the statistical quantity of the second stage detection is obtained and one time of accumulation is performed on a counter; and appearance of a target in the current scanning image and updating of a clutter map are determined according to the statistical quantity of the second stage detection and the second stage detection threshold and the size relation between the accumulation value of the counter and the length of the shift registers.

Description

technical field [0001] The invention relates to the field of radar signal detection, in particular to a constant false alarm method for clutter images based on a multi-frame double-threshold two-level detection mechanism. Background technique [0002] Radar signal detection is always carried out in the background of clutter, and the clutter power changes with the environment and time, so the detection threshold should also change in real time with the change of clutter power, otherwise it will lead to false alarm probability increase or decrease in probability of detection. [0003] At present, constant false alarm detection (CFAR) is often used to obtain a constant false alarm probability and predictable and stable detection performance. The core processing of CFAR is to estimate the power level of background clutter. According to different estimation methods, it can be divided into There are two categories: one is spatial domain CFAR, also known as neighbor cell CFAR, and...

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Problems solved by technology

[0005] In view of the above-mentioned shortcomings in the prior art, the clutter map constant false alarm method based on the multi-frame double-threshold two-level detection mechanism provided by the present invention solves the problem of the detection performance degradation and the easy occurrence of target occlusion in the existing method under the condition of low signal-to-clutter ratio The problem

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