@inproceedings{714efadbab3e4e6589a8c0ffd647195f,
title = "Angular resolution limit of two closely-spaced point sources based on hypothesis testing",
abstract = "In this paper, we consider the statistical angular resolution limit (ARL) on resolving two closely-spaced point sources in array processing based on the framework of hypothesis testing. A more general formulation of the linearized hypothesis test is proposed and a new analytical expression of the ARL is derived. The result is more general and its superiority over previous work is verified via numerical simulations. For the first time, we also investigate the case of two identical sources where a second-order approximation is necessary. Numerical simulations show that the theoretical result agrees with the Cram{\'e}r-Rao bound (CRB) criterion-based ARL with regard to the relation between the resolution limit and the signal-to-noise-ratio (SNR).",
keywords = "angular resolution limit, array processing, generalized likelihood ratio test, hypothesis test, Wald test",
author = "Wei Zhu and Jun Tang and Shuang Wan",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638390",
language = "English",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "3905--3909",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}