The performance of music-based DOA in white noise with missing data

Abstract

The Multiple Signal Classification (MUSIC) algorithm is popular choice for estimating the direction of arrival (DOA) of signals impinging on a sensor array. In this paper, we analyze the mean-squared error (MSE) performance of MUSIC algorithm in the white noise setting with partially observed, or missing, data. Using recent results from random matrix theory… (More)
DOI: 10.1109/SSP.2012.6319826

Topics

2 Figures and Tables

Cite this paper

@article{Suryaprakash2012ThePO, title={The performance of music-based DOA in white noise with missing data}, author={Raj Tejas Suryaprakash and Raj Rao Nadakuditi}, journal={2012 IEEE Statistical Signal Processing Workshop (SSP)}, year={2012}, pages={800-803} }