Identical-Delay Based 2-D DOA and Frequency Joint Estimation With Sub-Nyquist Sampling for URA
Liang Liu, Xinyun Zhang, Xinyi Zhou, Lu Gan, Jiancheng An, Hongbin Li
Abstract
As spectrum congestion intensifies in wireless communication, efficient spectrum utilization through advanced sensing techniques has become increasingly important. This paper proposes a joint carrier frequency and two-dimensional (2-D) Direction of Arrival (DOA) estimation algorithm with signal recovery, utilizing identical-delay channels and sub-Nyquist sampling rates with a Uniform Rectangular Array (URA). Compared to multi-coset structures, the proposed method places identical-delay channels only along the edges of the URA, eliminating the need for additional ADCs and reducing hardware cost. Moreover, by leveraging tensor techniques, the spatial structure of the array is preserved, and the parameter pairing problem is avoided, leading to higher precision in estimation. Simulation results demonstrate the superior performance of the proposed method.
BibTeX
@inproceedings{icassp2025_identicaldelayba,
title = {Identical-Delay Based 2-D DOA and Frequency Joint Estimation With Sub-Nyquist Sampling for URA},
author = {Liang Liu and Xinyun Zhang and Xinyi Zhou and Lu Gan and Jiancheng An and Hongbin Li},
booktitle = {ICASSP 2025},
year = {2025}
}