NDLI: A robust bearing estimator based on Jacobi-Anger expansion for large angular spread source

Content Provider	IEEE Xplore Digital Library
Author	Liu, S.J. Wan, Q. Peng, Y.N.
Copyright Year	2002
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Liu, S.J.; Wan, Q.; Peng, Y.N.)
Abstract	In the estimation of the bearing of an angularly spread source, the Taylor-expansion is commonly used, which may lead to a distinct model approximation error, especially for the large spread case. In order to overcome this problem as much as possible, we employ the JA-expansion model. On one hand, the model accuracy mainly depends on the order of the JA expansion but has no direct relation with angular spread; on the other hand, as the coefficients of the JA expansion for array response are just the harmonics of the incident angle, and hence of the array, a covariance matrix can be computed exactly by the Fourier transform of the angular power density. For a symmetric angular spread, utilizing the structural knowledge of the array covariance matrix and the decoupling property of the JA-expansion model, a nonlinear least squares estimator is proposed. Numerical results demonstrate its robustness for large angular spread and extension of the array size. Its asymptotic performance is also examined for the large sample case.
Sponsorship	IEEE Signal Process. Soc
Starting Page	499
Ending Page	502
File Size	301592
Page Count	4
File Format	PDF
ISBN	0780375513
DOI	10.1109/SAM.2002.1191090
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Jacobian matrices Covariance matrix Direction of arrival estimation Approximation error Radar scattering Taylor series Power system harmonics Array signal processing Radar applications
Content Type	Text
Resource Type	Article

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