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

Liu Ming; Shui Peng-lang

doi:10.11999/JEIT140900

Volume 37 Issue 6

Jun. 2015

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Liu Ming, Shui Peng-lang. Adaptive Matched Filter Detector Based on Power Median and Normalized Sample Covariance Matrix[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1395-1401. doi: 10.11999/JEIT140900

Citation:

Liu Ming, Shui Peng-lang. Adaptive Matched Filter Detector Based on Power Median and Normalized Sample Covariance Matrix[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1395-1401. doi: 10.11999/JEIT140900

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

doi: 10.11999/JEIT140900

Liu Ming¹,
Shui Peng-lang¹

Received Date: 2014-07-09
Rev Recd Date: 2014-10-08
Publish Date: 2015-06-19

Abstract

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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References(19)

References

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