Non-Line-of-Sight Targets Localization Algorithm via Joint Estimation of DoD and DoA

Author:

Zhu Zhihao1ORCID,Guo Shisheng1ORCID,Chen Jiahui1ORCID,Xue Shucheng1ORCID,Xu Zihan1ORCID,Wu Peilun1ORCID,Cui Guolong1ORCID,Kong Lingjiang1ORCID

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

Municipal Government of Quzhou

Higher Education Discipline Innovation Project

Guangdong Key Areas Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

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2. RM-CSTV: An effective high-resolution method of non-line-of-sight millimeter-wave radar 3-D imaging;National Science Open;2024-08-01

3. LOS and NLOS Targets Localization in an L-Shaped Corner;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Detection of Ghost Targets for Automotive Radar in the Presence of Multipath;IEEE Transactions on Signal Processing;2024

5. Cramer-Rao Performance Bounds for NLOS Target Localization Behind L-shaped Corner;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

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