NDLI: High resolution 2-D DOA estimation using second-order partial-differential of MUSIC spectrum

Content Provider	IEEE Xplore Digital Library
Author	Ichige, K. Ishikawa, Y. Arai, H.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Yokohama Nat. Univ., Yokohama (Ichige, K.; Ishikawa, Y.; Arai, H.)
Abstract	This paper presents a simple but high resolution two-dimensional (2-D) direction-of-arrival (DOA) estimation method using second-order partial-differential of MUSIC spectrum. Multiple signal classification (MUSIC) method is paid attention as one of "superresolution" DOA estimation methods because of their brilliant characteristics, however MUSIC also has the problem of estimation accuracy in severe environments like low SNR, small number of snapshots, or incident waves from close angles. Paying attention to the fact that the second-order differential of MUSIC spectrum makes peaks around the original DOAs even when MUSIC spectrum does not make peaks there, we have already presented an accurate one-dimensional (1-D) DOA estimation method that employs the second-order differential of the MUSIC spectrum. In this paper, we develop the previous 1-D second-order differential approach to correspond to 2-D DOA estimation problem and see if it also works for higher dimensional case. The performance of the present method is evaluated in comparison with 2-D MUSIC method through computer simulation.
Starting Page	1152
Ending Page	1155
File Size	340662
Page Count	4
File Format	PDF
ISBN	9781424416837
DOI	10.1109/ISCAS.2008.4541627
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Direction of arrival estimation Multiple signal classification Linear antenna arrays Two dimensional displays Signal resolution Computer simulation Mobile communication Additive white noise AWGN Mobile antennas
Content Type	Text
Resource Type	Article

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