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A Novel DOA Estimation for Low-Elevation Target Method Based on Multiscattering Center Equivalent Model
被引:13
作者:
Ma, Jianjun
[1
]
Ma, Hui
[1
]
Liu, Hongwei
[1
]
Liu, Wei
[2
]
Cheng, Xiangzheng
[2
]
机构:
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
[2] Key Lab Electro Opt Countermeasures Test & Evaluat, Luoyang 471003, Peoples R China
基金:
中国国家自然科学基金;
关键词:
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;
ALTITUDE MEASUREMENT;
COMPLEX TERRAIN;
LOCALIZATION;
PROJECTION;
D O I:
10.1109/LGRS.2023.3242977
中图分类号:
P3 [地球物理学];
P59 [地球化学];
学科分类号:
0708 ;
070902 ;
摘要:
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.
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