Improved two-dimensional change index constant false alarm target detection method

Abstract

The invention discloses an improved two-dimensional change index constant false alarm target detection method. The method comprises the following steps: selecting a reference unit on a two-dimensionalR-D spectrum, and building a left reference window, a right reference window, an upper reference window and a lower reference window; describing clutter states and summing according to reference unitvalues in the reference window; selecting corresponding logic according to the background estimation condition; and calculating a detection threshold according to the weight to realize constant falsealarm processing. According to the method, an existing single-dimensional VI-CFAR detection strategy is expanded to a two-dimensional R-D spectrum for 2D-VI-CFAR detection, so that the background estimation effectiveness is improved, and the method has higher adaptability to various complex clutter environments. According to the invention, the respective excellent detection performances of the three mean value type constant false alarm detectors in a uniform clutter, a multi-target environment and a clutter edge environment are integrated, and the background reference unit is selected by using the two-dimensional spectrum information to estimate the background clutter power so as to select a more appropriate detection strategy.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and in particular relates to an improved two-dimensional variable index constant false alarm target detection method. Background technique [0002] In radar target detection, the constant false alarm (CFAR) detector estimates the background clutter power according to the reference units near the detected unit, so as to adaptively set the threshold and maintain CFAR performance. According to the different clutter estimation methods, unit average CA, unit average chooses large GO, and unit average chooses small SO constant false alarm detector. They play their best effects in different clutter backgrounds, that is, uniform clutter background, multi-target environment, and clutter edge environment. But these detectors have a common disadvantage, they are all proposed for a certain clutter background, while improving the detection performance in this background, it is at the expense of CFAR da...

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Problems solved by technology

But these detectors have a common disadvantage, they are all proposed for a certain clutter background, while improving the detection performance in this background, it is at the expense of CFAR damage in other backgrounds

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