Space-time Adaptive Processing via Dynamic Environment Sensing

Fang Ming; Liu Hong-wei; Dai Feng-zhou; Wang Xiao-mo

doi:10.11999/JEIT141505

Volume 37 Issue 8

Aug. 2015

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Fang Ming, Liu Hong-wei, Dai Feng-zhou, Wang Xiao-mo. Space-time Adaptive Processing via Dynamic Environment Sensing[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1786-1792. doi: 10.11999/JEIT141505

Citation:

Fang Ming, Liu Hong-wei, Dai Feng-zhou, Wang Xiao-mo. Space-time Adaptive Processing via Dynamic Environment Sensing[J]. Journal of Electronics & Information Technology, 2015, 37(8): 1786-1792. doi: 10.11999/JEIT141505

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Space-time Adaptive Processing via Dynamic Environment Sensing

doi: 10.11999/JEIT141505

1.
(National Laboratory of Radar Signal Processing, Xidian University, Xi&rsquo
2.
(National Laboratory of Radar Signal Processing, Xidian University, Xi&rsquo

Received Date: 2014-11-27
Rev Recd Date: 2015-05-11
Publish Date: 2015-08-19

Abstract

Abstract

In heterogeneous clutter environments, Space-Time Adaptive Processing (STAP) shows notable performance degradation for lacking sufficient Independent Identically Distributed (IID) training samples. To solve this problem, a STAP approach is proposed based on dynamic environment sensing. With transmitted signal being orthogonal waveform, the clutter information is achieved. Then the clutter information and platform parameters are used and a clutter covariance matrix at future time is obtained incorporating system parameters. Finally, the space-time processor can be built based on the combination of the predicted clutter covariance matrix and the sample covariance matrix. The simulation results demonstrate that the new approach still can achieve better clutter suppression performance under circumstance of inaccurate environmental knowledge.
- Airborne radar,
- Clutter suppression,
- Space-Time Adaptive Processing (STAP),
- Sensing,
- Orthogonal signal

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References(18)

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