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A Novel DOA Estimation for Low-Elevation Target Method Based on Multiscattering Center Equivalent Model

delete2023-01-01
delete12
PRE
AI
J
Jianjun Ma
H
Hui Ma *
H
Hongwei Liu
刘伟 cover
刘伟 (Wei Liu)
X
Xiangzheng Cheng
DOI:10.1109/LGRS.2023.3242977delete
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Abstract

Abstract

En 中文
The multipath in very high-frequency (VHF) radar will reduce the direction-of-arrival (DOA) estimation accuracy for the low-angle target following. Since the target and multipath signals have strong coherence in the spatial domain, it is challenging to distinguish them accurately. Especially in some terrain complex regions, various scattering media cause the multipath echo to exhibit multichannel and nonuniform energy distribution features. Therefore, the single-multipath DOA estimation methods will mismatch the actual signal, resulting in inaccurate DOA estimation. The current letter presents a new DOA estimation approach using a multiple scattering center model in complex terrain to solve the mentioned issue. In the presented method, multiple multipath is analogous to a single one based on the multipath signal's spatial coherence. The equivalent model represents the DOA estimation problem with a parametric optimization problem, and accurate estimation results can be attained using the Newton optimization approach. Compared with the conventional sparse reconstruction method, the presented method is not restricted by the restricted isometry property (RIP) and employs a robust parameter estimation method to solve the angle super-resolution problem under the low signal-to-noise ratio (SNR). The experimental results reflect that the presented model and approach can efficiently promote the DOA estimation precision and calculational performance compared to conventional DOA estimation approaches.
Keywords:
Estimation
Direction-of-arrival estimation
Optimization
Radar
Signal to noise ratio
Superresolution
Maximum likelihood estimation
Direction-of-arrival (DOA) estimation
low-angle target
multipath equivalent model
parameter optimization
very high-frequency (VHF) radar

Journal

IEEE Geoscience and Remote Sensing Magazine cover
IEEE Geoscience and Remote Sensing Magazine
IF:
16.4
Papers:
1.0W
Citations:
5.1K

Organization

X
Xidian University
Scholars:
2.4W
Papers: 1.9W
Citations: 9.7K