Fast communication: Three-dimensional reduced-dimension transformation for MIMO radar space-time adaptive processing

Authors:
Cong Xiang;Da-Zheng Feng;Hui Lv;Jie He;Hong-Wei Liu
Affiliations:
National Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China;National Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China;National Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China;National Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China;National Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, China
Venue:
Signal Processing
Year:
2011

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Abstract

In this paper, a spatial-temporal filter with three-dimensional (3D) cascaded configuration is proposed for multi-input multi-output (MIMO) radar space-time adaptive processing (STAP) based on reduced-dimension transformation. The 3D weight vector which is decomposed into the Kronecker product of transmitting, receiving and temporal weight vectors can be efficiently obtained by the proposed tri-iterative algorithm (TRIA). It is shown that the proposed approach can significantly reduce the computational burden and training-data requirement. The effectiveness of the proposed algorithm is demonstrated via the numerical experiments as compared with the other methods.