Analysis Of Min-Norm And Music With Arbitrary Array Geometry
Document Type
Article
Date of Original Version
1-1-1990
Abstract
A new, nonasymptotic performance comparison between the Min-Norm and MUSIC algorithms is presented for estimating the directions of arrival of narrowband plane waves impinging on an array of sensors. The analysis is based on a finite amount of sensor data, unlike many previous asymptotic analyses. The analysis presented here makes the assumption of high signal-to-noise ratio (SNR), and it applies to arrays of arbitrary geometry. It is shown that Min-Norm can be expressed as a certain data-dependent weighted MUSIC algorithm, and this relationship allows a unified performance comparison. It is also shown that the variances of the estimated directions-of-arrival from the MUSIC algorithm are always smaller than those of the Min-Norm algorithm at high SNR when both algorithms employ a numerical search procedure to obtain the estimates. © 1990 IEEE
Publication Title, e.g., Journal
IEEE Transactions on Aerospace and Electronic Systems
Volume
26
Issue
6
Citation/Publisher Attribution
Li, Fu, and Richard J. Vaccaro. "Analysis Of Min-Norm And Music With Arbitrary Array Geometry." IEEE Transactions on Aerospace and Electronic Systems 26, 6 (1990): 976-985. doi: 10.1109/7.62249.
