TY - GEN
T1 - Joint DOA-Range Estimation Based on Bidirectional Extension Frequency Diverse Coprime Array
AU - Geng, Langhuan
AU - Li, Yong
AU - Cheng, Wei
AU - Dong, Limeng
AU - Tan, Yumei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Joint direction-of-arrival (DOA) and range estimation based on frequency diverse array (FDA) have been a critical issue in radar detection, tracking, and navigation. This paper first proposes a bidirectional extension frequency diverse coprime array (BE-FDCA) to obtain an extended 2D virtual array with a larger degree of freedom (DOF). Furthermore, on top of BE-FDCA, we introduce a sparse reconstruction algorithm, referred to as SR-BE-FDCA, to avoid time-consuming peak searches. The algorithm includes two key steps: sparse reconstruction of Decoupled Atomic Norm Minimization (DANM) and 2D ESPRIT estimation. With the aid of these designs, our approach achieves more accurate DOA and range estimations. Finally, numerical simulations are implemented to demonstrate the effectiveness of our method.
AB - Joint direction-of-arrival (DOA) and range estimation based on frequency diverse array (FDA) have been a critical issue in radar detection, tracking, and navigation. This paper first proposes a bidirectional extension frequency diverse coprime array (BE-FDCA) to obtain an extended 2D virtual array with a larger degree of freedom (DOF). Furthermore, on top of BE-FDCA, we introduce a sparse reconstruction algorithm, referred to as SR-BE-FDCA, to avoid time-consuming peak searches. The algorithm includes two key steps: sparse reconstruction of Decoupled Atomic Norm Minimization (DANM) and 2D ESPRIT estimation. With the aid of these designs, our approach achieves more accurate DOA and range estimations. Finally, numerical simulations are implemented to demonstrate the effectiveness of our method.
KW - coprime array
KW - DOA
KW - estimation algorithm
KW - Frequency diverse array
KW - sparse recovery
UR - http://www.scopus.com/inward/record.url?scp=85178341348&partnerID=8YFLogxK
U2 - 10.1109/IGARSS52108.2023.10282428
DO - 10.1109/IGARSS52108.2023.10282428
M3 - 会议稿件
AN - SCOPUS:85178341348
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4820
EP - 4823
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Y2 - 16 July 2023 through 21 July 2023
ER -