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| Clutter Suppression and Parameter Estimation Method in WAS-GMTI Mode Based on Relax Algorithm |
| YAN He ZHU Daiyin ZHANG Jindong WANG Xudong LI Yong MAO Xinhua WU Di |
| (College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China) |
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Abstract This paper proposes a clutter suppression and parameter estimation method based on Relax algorithm. The method is fit for the multi-channel Wide Area Surveillance (WAS) GMTI system. After analyzing the components of radar echoes in WAS-GMTI mode, an iterative clutter suppression method based on Relax algorithm is designed. Compared with the reduced-dimension Space Time Adaptive Processing (STAP) algorithm, the proposed method achieves better clutter suppression results in the nonhomogeneous environment since it has no need to estimate the clutter plus noise covariance matrix. Besides, based on the clutter suppression results, precision parameters of moving targets can be obtained if the iterations are continued in the range-Doppler cells with the detected moving targets. The proposed method is validated by digital simulations.
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Received: 22 August 2016
Published: 14 December 2016
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| Fund: The National Natural Science Foundation of China (61501231), The Jiangsu Provincial Natural Science Foundation (BK20150759), The Aeronautical Science Foundation of China (20152052027), The Fundamental Research Funds for the Central Universities (3082016NJ20160006) |
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Corresponding Authors:
YAN He
E-mail: yanhe@nuaa.edu.cn
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