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Beamspace maximum likelihood algorithm based on sum and difference beams for elevation estimation

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Beamspace super-resolution methods for elevation estimation in multipath environment has attracted significant attention,especially the beamspace maximum likelihood(BML)algorithm.However,the difference beam is rarely used in super-resolution methods,especially in low elevation estimation.The target airspace information in the difference beam is different from the target airspace information in the sum beam.And the use of difference beams does not significantly increase the com-plexity of the system and algorithms.Thus,this paper applies the difference beam to the beamformer to improve the elevation estimation performance of BML algorithm.And the direction and number of beams can be adjusted according to the actual needs.The theoretical target elevation angle root means square error(RMSE)and the computational complexity of the proposed algorithms are analyzed.Finally,computer simulations and real data processing results demonstrate the effectiveness of the proposed algorithms.

elevation estimationbeamspacemultipath environ-mentmaximum likelihood

CHEN Sheng、ZHAO Yongbo、HU Yili、PANG Xiaojiao

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National Laboratory of Radar Signal Processing,Xidian University,Xi'an 710071,China

Fund for Foreign Scholars in University Research and Teaching Programs

B18039

2024

系统工程与电子技术(英文版)
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会 中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD
影响因子:0.64
ISSN:1004-4132
年,卷(期):2024.35(3)
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