稀疏距离扩展目标自适应检测及性能分析

魏广芬; 苏峰; 简涛

doi:10.3724/SP.J.1004.2013.01126

稀疏距离扩展目标自适应检测及性能分析

doi: 10.3724/SP.J.1004.2013.01126

魏广芬^1, ,,
苏峰²,
简涛²

1.
山东工商学院信息与电子工程学院烟台 264005;
2.
海军航空工程学院信息融合技术研究所烟台 264001

基金项目:

国家自然科学基金(61174007, 61102166), 山东省优秀中青年科学家科研奖励基金(BS2010DX022)资助

详细信息

通讯作者:
魏广芬

计量
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- 被引次数: 0
出版历程
- 收稿日期: 2011-12-28
- 修回日期: 2012-08-27
- 刊出日期: 2013-07-20

Sparsely Range-spread Target Detector and Performance Assessment

1.
School of Information and Electronics, Shandong Institute of Business and Technology, Yantai 264005;
2.
Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001

Funds:

Supported by National Natural Science Foundation of China (61174007, 61102166) and the Scientific Research Foundation for Outstanding Young Scientists of Shandong Province (BS2010DX022)

摘要

摘要: 在球不变随机向量杂波背景下,研究了稀疏距离扩展目标的自适应检测问题.基于有序检测理论, 利用协方差矩阵估计方法,分析了自适应检测器(Adaptive detector, AD).其中,基于采样协方差矩阵(Sample covariance matrix, SCM)和归一化采样协方差矩阵(Normalized sample covariance matrix, NSCM),分别建立了AD-SCM和AD-NSCM检测器.从恒虚警率特性和检测性能综合来看, AD-NSCM的性能优于AD-SCM和已有的修正广义似然比检测器.最后,通过仿真实验验证了所提方法的有效性.
- 稀疏距离扩展目标 /
- 自适应检测 /
- 采样协方差矩阵 /
- 归一化采样协方差矩阵 /
- 有序统计量
Abstract: In the background where the clutter is modeled as a spherically invariant random vector, the adaptive detection of sparsely range-spread targets is addressed. By exploiting the order statistics and the covariance matrix estimators, the adaptive detector (AD) is assessed. Herein, the detectors of AD-SCM and AD-NSCM are proposed based on the sample covariance matrix (SCM) and normalized sample covariance matrix (NSCM), respectively. In terms of constant false alarm rate properties and detection performance, the AD-NSCM outperforms the AD-SCM and the existing detector of modified generalized likelihood ratio. Finally, the performance assessment conducted by simulation confirms the effectiveness of the proposed detectors.
- Sparsely range-spread target /
- adaptive detection (AD) /
- sample covariance matrix (SCM) /
- normalized sample covariance matrix (NSCM) /
- order statistics

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参考文献(15)

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