NDLI: Spatial-Smoothing-like Processing of array steering vectors for high resolution DOA estimation

Content Provider	IEEE Xplore Digital Library
Author	Chumchong, P. Ichige, K. Arai, H.
Copyright Year	2009
Description	Author affiliation: Department of Electrical and Computer Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, 240-8501, Japan (Chumchong, P.; Ichige, K.; Arai, H.)
Abstract	This paper proposes Spatial Smoothing Preprocessing (SSP)-like definition of the virtual array steering vector used in array mapping design process. Accuracy of Direction-of-Arrival (DOA) estimation is often deteriorated when incident signals are strongly cross-correlated, and SSP has been developed to reduce such signal correlation and then to accurately estimate DOAs of those signals. Application of SSP is limited to the array configuration where parallel shift of subarrays are considerable, like Uniform Linear Array (ULA) or Uniform Rectangular Array (URA). On the other hand, array interpolation processing is necessary to apply SSP to Uniform Circular Array (UCA) which could provide DOA estimation in all azimuth angles with identical accuracy. This paper proposes a novel definition of the virtual steering vector as SSP-like form in array interpolation, and also the same concept is applied to Element Space (ES)-Root-MUSIC.
Starting Page	421
Ending Page	424
File Size	165207
Page Count	4
File Format	PDF
ISBN	9781424447473
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-30
Publisher Place	Italy
Access Restriction	Subscribed
Subject Keyword	Process design Wireless communication Interpolation Smoothing methods Azimuth Vectors Covariance matrix Spatial resolution Direction of arrival estimation Sensor arrays
Content Type	Text
Resource Type	Article

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