Adaptive Detection of Distributed Targets in Gaussian Clutter Based on Multiple A-Priori Spectral Models

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• 作者：Yun Zhou ; Haining Yang ; Na Li ; Guolong Cui…
• 关键词：Adaptive detection ; Multiple a ; priori spectral models ; Inverse covariance matrix estimation ; Distributed target
• 刊名：Circuits, Systems, and Signal Processing
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：36
• 期：1
• 页码：420-434
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Circuits and Systems; Electrical Engineering; Signal,Image and Speech Processing; Electronics and Microelectronics, Instrumentation;
• 出版者：Springer US
• ISSN：1531-5878
• 卷排序：36

文摘

In this paper, we consider the problem of adaptive detection for distributed targets embedded in Gaussian disturbance without secondary data. We suppose that some a-priori spectral models for the interference in the cells under test and a lower bound on the power spectral density of the white disturbance term are available. First, we propose an approximate estimation algorithm for the unknown parameters under both hypotheses. Then, we propose a generalized likelihood ratio test that employs the approximate estimates. Finally, we evaluate the performance of the proposed detector under Gaussian disturbance and verify its advantage to some existing techniques.