基于功率中值和归一化采样协方差矩阵的自适应匹配滤波检测器

刘明; 水鹏朗

doi:10.11999/JEIT140900

基于功率中值和归一化采样协方差矩阵的自适应匹配滤波检测器

doi: 10.11999/JEIT140900

刘明¹,
水鹏朗¹

基金项目:

国家自然科学基金(61271295)资助课题

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- 被引次数: 0
出版历程
- 收稿日期: 2014-07-09
- 修回日期: 2014-10-08
- 刊出日期: 2015-06-19

Adaptive Matched Filter Detector Based on Power Median and Normalized Sample Covariance Matrix

Liu Ming¹,
Shui Peng-lang¹

摘要

摘要: 在非均匀海杂波环境中，参考单元中的异常单元限制了采样协方差矩阵(SCM)的估计性能，从而影响了传统自适应匹配滤波(AMF)检测器的检测性能。而考虑删除异常单元的方法在参考单元数目有限时可能导致矩阵的奇异性。鉴于此，在保持参考单元数目不变条件下，该文设计一种基于功率中值与归一化采样协方差矩阵(MNSCM)的估计方法，并将其与匹配滤波器(MF)相结合，构造一种新型的自适应匹配滤波检测器。与传统的自适应匹配滤波相比，该文设计的检测器在实测和仿真海杂波数据条件下均具有明显的性能优势。
- 目标检测 /
- 海杂波 /
- 自适应匹配滤波器 /
- 采样协方差矩阵 /
- 功率中值和归一化采样协方差矩阵
Abstract: In nonhomogeneous sea clutter, abnormal cells included reference cells constrain the performance of the Sample Covariance Matrix (SCM), and then influence the detection performance of the traditional Adaptive Matched Filter (AMF) detector, while censoring abnormal cells may cause singularity of the covariance matrix in the case of limited reference cells. Without changing number of the reference cells, this paper devises the median and normalized covariance matrix estimator and uses in the detection scheme of the AMF. Compared with the traditional AMF, the newly devised AMF obtains better performance in both measured and simulated clutter.
- Target detection /
- Sea clutter /
- Adaptive Matched Filter (AMF) /
- Sample Covariance Matrix (SCM) /
- Median and Normalized Sample Covariance Matrix (MNSCM)

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参考文献(19)

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