Detection method of sparse distance extension radar target in generalized Pareto clutter

Abstract

The present invention discloses a detection method of an adaptive sparse distance extension radar target in a generalized Pareto clutter background. The specific idea of the method is that: a binary hypothesis method is used to describe a radar target detection problem, the modeling is carried out on the above basis, sk and ck are obtained respectively, the likelihood detection statistical quantity of radar echo data is calculated according to sk and ck, thus a distance expension radar target detector of uniform Pareto clutter is obtained, then a maximum likelihood estimation method is utilized to obtain a generalized likelihood detector of a uniform Pareto clutter distance extension radar target and a generalized likelihood detector of a uniform Pareto clutter non-fluctuation sparse distance extension radar target, the false alarm probability PFA of the radar target is set, the detection threshold T of the likelihood detector is calculated and obtained, a distance unit in radar echo data is randomly selected as a detection unit, the detection statistical quantity ^ of the detection unit is calculated, and ^ and T are used to obtain the rardar target of each distance unit in the radar echo data.

Description

technical field [0001] The invention belongs to the technical field of radar target detection, and in particular relates to a detection method for a sparse range extended radar target under generalized Pareto clutter, which is suitable for wide-band high-resolution radar target detection. Background technique [0002] In recent decades, low-resolution radar adaptive detection of point targets in different clutter backgrounds has been extensively studied. However, modern broadband high-resolution radar (HRR) can resolve the independent scattering center of the radar target with extended range, and the broadband high-resolution radar can capture a large amount of detailed information of the scattering shape of the radar target, which is used for the classification, identification and identification of radar targets. imaging. However, due to the appearance of sea spikes, the statistical characteristics of clutter can no longer be described by Gaussian stochastic process modeli...

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Problems solved by technology

However, for a uniform clutter environment with consistent texture components for each range cell, the detection effect of the generalized likelihood ratio detector for range-extended radar targets will be significantly reduced; moreover, the scatterers of non-fluctuating sparse range-extended radar targets may only occupy the radar The section on target range extension makes the amplitude estimation method of radar echo data also need to be reconsidered

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