Space-time Adaptive Processing via Dynamic Environment Sensing
Fang Ming① Liu Hong-wei① Dai Feng-zhou① Wang Xiao-mo①②
①(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China) ②(China Academy of Electronics and Information Technology, Beijing 100041, China)
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.
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