Clutter image constant false alarm method based on multi-frame double-threshold two-stage detection mechanism

Abstract

The invention discloses a constant false alarm method for clutter images based on a multi-frame double-threshold two-stage detection mechanism, which includes the following steps: initializing the clutter power estimation values ​​of all detection units in the radar scanning image; The measured value of the unit; calculate the high threshold and low threshold of the first-level detection of each detection unit in the current scan image; determine the statistics of the first-level detection according to the relationship between the measured value of the detection unit and the high threshold and low threshold ; The statistics of the first-level detection of each detection unit are respectively stored in a shift register; the statistics of all first-level detections in each shift register are summed to obtain the statistics of the second-level detection, and Accumulate the counter once; determine whether there is a target in the current scanning image and whether to update the clutter according to the size relationship between the statistics of the second-level detection and the second-level detection threshold and the accumulated value of the counter and the length of the shift register picture.

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-stage 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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