NDLI: An adaptive weighted spatial smoothing algorithm utilizing virtual beamforming

Content Provider	IEEE Xplore Digital Library
Author	Ding Qian-Jun Wang Yong-Liang Zhang Yong-Shun
Copyright Year	2005
Description	Author affiliation: Air Force Eng. Univ., Xi'an, China (Ding Qian-Jun)
Abstract	With the existence of multipath interferences or smart jamming, the desired signal is correlated or even coherent with interferences in an adaptive array. The array performance is severely degraded when the desired signal is highly correlated or coherent with some of the interferences. The performance degradation is commonly called the desired signal cancellation phenomenon, which can be explicitly interpreted in the framework of generalized sidelobe canceller (GSC). Spatial smoothing (SS) was proposed to overcome the array performance degradation in the coherent environment, however, the subarray averaging in SS leads to the array aperture loss. Moreover, spatial smoothing can't decorrelate the desired signal and interferences completely, especially in some angles of the arrivals. In this paper, an adaptive weighted spatial smoothing (AWSS) technique is proposed. Based on the analysis of the correlation matrix of the weighted spatial smoothing, a virtual adaptive beamforming problem is constructed to compute the sliding weight. The correlation coefficients of the desired signal and the interferences in the after-weighted correlation matrix are approximately equal to zeros, due to the nulls of the virtual beamforming. The theoretical analysis and simulation results show that the AWSS algorithm can decorrelate the desired signal and the coherent interferences more efficiently. The number of subarrays needed decreases, and the array aperture loss is reduced in spatial smoothing.
Sponsorship	Nat. Capital Area Council IEEE Aerospace and Electron. Syst. Soc. RADAR Syst. Panel
Starting Page	612
Ending Page	617
File Size	286441
Page Count	6
File Format	PDF
ISBN	078038881X
DOI	10.1109/RADAR.2005.1435900
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smoothing methods Array signal processing Interference Degradation Apertures Decorrelation Jamming Adaptive arrays Performance loss Signal analysis
Content Type	Text
Resource Type	Article

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