Research Article
Near-Field Source Localization by Exploiting the Signal Sparsity
@INPROCEEDINGS{10.1007/978-3-030-41117-6_2, author={Huan Meng and Hongqing Liu and Yi Zhou and Zhen Luo}, title={Near-Field Source Localization by Exploiting the Signal Sparsity}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part II}, proceedings_a={CHINACOM PART 2}, year={2020}, month={2}, keywords={Near-field localization Sparse reconstruction Basis mismatch Atomic norm}, doi={10.1007/978-3-030-41117-6_2} }- Huan Meng
Hongqing Liu
Yi Zhou
Zhen Luo
Year: 2020
Near-Field Source Localization by Exploiting the Signal Sparsity
CHINACOM PART 2
Springer
DOI: 10.1007/978-3-030-41117-6_2
Abstract
This work aims to study the source localization problem using a symmetric array in a near-field environment. To reduce the computational complexity, in this work, two spatial correlation signals are created in which each signal only depends on one parameter of direction of arrival (DOA) or range. In the development process, the each resulting signal still possesses the array spatial structure, and therefore, the atomic norm minimization is utilized to obtain the corresponding solutions. The utilization of atomic norm also allows one to avoid the off-grid problem when the sparse reconstruction concept is employed. The numerical studies demonstrate the proposed method provides a superior performance compared with other approaches.
