先验失配条件下的知识辅助检测器稳健性分析

doi:10.7527/S1000-6893.2014.0169

Abstract

Abstract:

Smart use of the prior information of detection environment is one of effective approaches to improve the performance of radar detection. Prior information is given at the design stage of radar detector, and the resultant difference between the prior model and current detection environment may be existed. In this paper, the knowledge aided (KA) detector using the texture component prior information in compound Gaussian clutter is considered. The quantized relationship between the detector performance and the mismatched prior model parameters is proposed, and the impact of the mismatched prior model on the detector performance is analyzed, with given detection environment model. The analyzed results show that, the robustness of knowledge aided detector is related to the model parameters of current detection environment. Furthermore, we propose the allowable region of the prior model mismatches, and when the prior model parameters are located in this region, the knowledge aided detector outperforms the convention detector without using prior information.

Key words: knowledge aided, radar signal detection, compound Gaussian, prior information, robustness

CLC Number:

ZOU Kun, ZHANG Bin, LIU Zifu. Robustness analysis of knowledge aided detector under prior mismatched conditions[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(3): 939-948.

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Robustness analysis of knowledge aided detector under prior mismatched conditions

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