CFAR detector suitable for complex inhomogeneous clutters

Abstract

The invention discloses a CFAR detector suitable for complex inhomogeneous clutters, belongs to the field of radar signal processing, relates to a radar self-adaptive detection technology and in particular relates to a self-adaptive constant false alarm rate (CFAR) detection method. A radar radiation region is divided into even small regions by use of a morphological classification algorithm, each small region serves as a reference window, the reference windows of the same terrain are fused, and the terrains of the various reference windows after fusion are numbered to obtain the terrain classes of the whole radar radiation region. According to the CFAR detector suitable for complex inhomogeneous clutters, cells to be detected and resolution cells in the reference window are independent identically distributed even in an inhomogeneous background, and the performance of the detector is not affected by the inhomogeneous background. As a result, the CFAR detector suitable for complex inhomogeneous clutters is capable of solving the problem of acute drop of the performance of the CFAR detector when the radar scans a complex region in practical application, and has the outstanding advantages of high accuracy and good practicability.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and relates to a radar adaptive detection technology, in particular to an adaptive constant false alarm (CFAR) detection method. Background technique [0002] Because CFAR detection can keep the probability of false alarm basically unchanged in the changing clutter environment, it is widely used in radar target detection under strong clutter background. In the CFAR system, the unit to be detected (unit to be detected) is compared with an adaptive threshold, which is usually estimated by using the data of resolution units around the unit to be detected. Theoretically, the data in the reference window and the unit to be detected must satisfy the independent and identically distributed (IID) characteristic. However, in the actual environment, the clutter background is often non-uniform, and the IID assumption is no longer valid, which will lead to a significant decline in the traditional CFAR ...

AI Technical Summary

Problems solved by technology

[0005] However, these CFAR detectors are only suitable for uniform or partially uniform background environments. When the background environment is complex and rapidly changing, the CFAR detectors proposed so far cannot guarantee: Cells have IID characteristics, causing rapid performance degradation of CFAR detectors

In summary, most of the CFAR detectors proposed so far have great limitations in practical applications.

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