Three-dimensional Spatial-temporal Two-step Dimension-reduced Adaptive Processing for Airborne Radar

Xiang  Cong; Feng  Da-Zheng; He Jie

doi:10.3724/SP.J.1146.2009.01248

Volume 32 Issue 8

Sep. 2010

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Xiang Cong, Feng Da-Zheng, He Jie. Three-dimensional Spatial-temporal Two-step Dimension-reduced Adaptive Processing for Airborne Radar[J]. Journal of Electronics & Information Technology, 2010, 32(8): 1869-1873. doi: 10.3724/SP.J.1146.2009.01248

Citation:

Xiang Cong, Feng Da-Zheng, He Jie. Three-dimensional Spatial-temporal Two-step Dimension-reduced Adaptive Processing for Airborne Radar[J]. Journal of Electronics & Information Technology, 2010, 32(8): 1869-1873. doi: 10.3724/SP.J.1146.2009.01248

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Three-dimensional Spatial-temporal Two-step Dimension-reduced Adaptive Processing for Airborne Radar

doi: 10.3724/SP.J.1146.2009.01248 cstr: 32379.14.SP.J.1146.2009.01248

Received Date: 2009-09-22
Rev Recd Date: 2010-03-24
Publish Date: 2010-08-19

Abstract

Abstract

Three-dimensional Space-Time Adaptive Processor (3D-STAP) is studied in this paper for airborne radar system, and a new kind of two-step dimension-reduced suboptimum STAP technique is proposed based on the frame of pre-Doppler followed by spatial adaptive processing (mDT-SAP). The Doppler filter with fixed configuration is performed on each spatially sampled element to reduce the correlation in the temporal domain, followed by spatial bi-iterative adaptive processing on the azimuth and elevation of the platform array based on the two separable weight vectors. It is shown that the proposed method has lower the computation load and needs smaller training data size compared to the traditional method. In additional, the effectiveness and robustness of the proposed method are demonstrated via numerical experiment.
- Airborne radar,
- Three-Dimensional Space-Time Adaptive Processing (3D-STAP),
- Two-step dimension-reduced,
- Bi-iterative,
- Clutter mitigation

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References(1)

References

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