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《Radar Science and Technology》 2014-04
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An Improved Spatial Smoothing Algorithm Based on Quaternion

LIU Fang;LI Hui-yong;ZHANG Jun-bo;School of Electronic Engineering,University of Electronic Science and Technology of China;  
The conventional quaternion spatial smoothing algorithm fails to make full use of the crosscorrelation information among the sub-arrays,thus it produces poor resolution when estimating the signal directions.An improved spatial smoothing algorithm based on quaternion is proposed in this paper.First,the quaternion signal model is given and the inherent orthogonal structure of each element has been kept well for polarization sensitive array.Second,the newly spatial smoothing algorithm is derived,and it makes full use of the cross-correlation and the auto-correlation information of all the sub-arrays.The proposed algorithm outperforms the conventional quaternion spatial smoothing algorithm when the incident signals have a close direction of arrival and a low signal to noise ratio.Finally,simulation results are shown to verify the efficacy of the improved algorithm.
【Fund】: 四川省应用基础研究(No.2013JY0004);; 国家自然科学基金(No.61301262)
【CateGory Index】: TN911.7
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