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Joint TOA and DOA Estimation With CFO Compensation Using Large-Scale Array.

Authors :
Gong, Ziyi
Wu, Liang
Zhang, Zaichen
Dang, Jian
Zhu, Bingcheng
Jiang, Hao
Li, Geoffrey Ye
Source :
IEEE Transactions on Signal Processing. 11/15/2021, p4204-4218. 15p.
Publication Year :
2021

Abstract

This paper investigates estimation of direction of arrivals (DOAs) and time of arrivals (TOAs) for a multi-user orthogonal frequency-division multiplexing (OFDM) system that is equipped with large-scale arrays and interfered by carrier frequency offsets (CFOs). We propose a novel scheme for joint TOA and DOA estimation with CFO compensation by taking advantages of large-scale receive antenna arrays. The pilot is designed to balance the pilot length and the estimation performance. The proposed CFO estimation scheme is with lower complexity. After analyzing the resolution of joint DOA and TOA estimation, we find a criterion to choose an appropriate smoothing window for the best resolution and provide insights in sub-carrier selection strategy. We also prove that the large-scale array can asymptotically achieve perfect resolution of both TOA and DOA estimation. We reveal the pseudo peak (PP) elimination property of large-scale arrays and exploit it to develop a novel path number estimation algorithm accordingly. Based on our numerical results, the proposed scheme can efficiently eliminate the CFO effect, the optimized smoothing window attains much better performance, and the path number estimation algorithm performs better than the traditional minimum description length (MDL) approach, especially in the low signal-to-noise ratio (SNR) regime. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1053587X
Database :
Academic Search Index
Journal :
IEEE Transactions on Signal Processing
Publication Type :
Academic Journal
Accession number :
153880590
Full Text :
https://doi.org/10.1109/TSP.2021.3095722