@inproceedings{b2e092bd70bf4a11b8f43de0d8feed69,
title = "On the Cram{\'e}r-Rao Bound and the Number of Resolvable Sources in the Presence of Nonuniform Noise for Underdetermined DOA Estimation",
abstract = "In this paper, the closed-form stochastic Cram{\'e}r-Rao Bound (CRB) expression for underdetermined direction-of- arrival (DOA) estimation is derived in the presence of nonuniform noise. By examining the information regularity condition and the number-of-equations condition, it is found that the number of resolvable uncorrelated sources exploiting sparse arrays is upper bounded by the number of positive sensor positions in the virtual difference co-array, which is identical to those in the presence of uniform noise. This indicates that the redundant sensor positions in the difference co-array can provide extra degrees of freedoms (DOFs) for identifiability of more unknown parameters associated with the covariance matrix of the noise, without sacrificing the number of resolvable sources.",
keywords = "Cram{\'e}r-Rao bound (CRB), direction-of-arrival (DOA) estimation, nonuniform noise, sparse array, underdetermined",
author = "Yibao Liang and Wei Liu and Qing Shen and Wei Cui and Siliang Wu",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 15th IEEE International Conference on Signal Processing, ICSP 2020 ; Conference date: 06-12-2020 Through 09-12-2020",
year = "2020",
month = dec,
day = "6",
doi = "10.1109/ICSP48669.2020.9321004",
language = "English",
series = "International Conference on Signal Processing Proceedings, ICSP",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "93--98",
editor = "Yuan Baozong and Ruan Qiuqi and Zhao Yao and An Gaoyun",
booktitle = "ICSP 2020 - 2020 IEEE 15th International Conference on Signal Processing Proceedings",
address = "United States",
}