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| Radar Target Detection Method Based on the Alpha-stable Distribution Clutter Model |
| Zheng Zuo-hu Wang Shou-yong |
| Key Research Laboratory of Radar Armament and Utilization Engineering, Wuhan Air Force Early Warning Academy, Wuhan 430019, China |
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Abstract The detection performance of the Moving Target Detection (MTD) method descends badly in a non-Gaussian correlated clutter background. Therefore, a radar target detection method in the non-Gaussian correlated clutter background is proposed, which is obtained based on the alpha-stable distribution clutter model and the eigenfilter. The proposed method suppresses the non-Gaussian clutter by the signed power and whitens the correlated clutter of the fractional lower order correlate matrix, which is based on the alpha-stable distribution clutter model. Finally, the eigenfilter is used to get a higher signal clutter ratio. Simulations and real data results show that, the detection performance of the proposed method obviously outperforms the MTD method in the non-Gaussian correlated clutter background.
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Received: 10 January 2014
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Corresponding Authors:
Zheng Zuo-hu
E-mail: zhengzuohu@yeah.net
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2014, Vol. 36 
