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Multibeam Generalized Monopulse Angle Estimation for APAR

delete2024-12-15
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PRE
AI
R
Rui Liu
张晋东 cover
张晋东 (Jindong Zhang) *
J
Ji, Yaxin
朱岱寅 (Daiyin Zhu)
DOI:10.1109/JSEN.2024.3482702delete
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Abstract

Abstract

En 中文
The generalized monopulse angle estimation (GMAE) is the main angle measurement method after adaptive digital beamforming (ADBF) anti-jamming of multichannel active phased array radar (APAR). The conventional GMAE is a first-order Taylor approximation solution, which is a biased estimation, especially in the case of near-main-lobe interference. Also, the angle measurement accuracy is lost because only sum and difference adaptive digital beams are used. In view of the above problems, this article establishes a multibeam generalized monopulse angle measurement model, transforms the solution of complex nonlinear equations into an optimal estimation problem based on minimum residual variance, and gives the solution based on an iteration algorithm. The proposed algorithm has the advantages of fast convergence speed and low computation expense. Compared with conventional GMAE, the computational complexity is slightly improved but far less than the direction-of-arrival (DOA) spectrum estimation algorithm. Theoretical and numerical simulation results show that the proposed algorithm not only eliminates the estimated offset but also makes full use of digital multibeam to improve the accuracy of angle measurement, which can effectively improve the angle measurement accuracy of digital multichannel radar under sidelobe interference and near-main-lobe interference conditions.
Keywords:
Anti-jamming angle measurement
generalized monopulse angle measurement
multibeam angle measurement
multichannel phased array radar
Anti-jamming angle measurement
generalized monopulse angle measurement
multibeam angle measurement
multichannel phased array radar

Journal

IEEE Sensors Journal cover
IEEE Sensors Journal
IF:
4.5
Papers:
2.1W
Citations:
7.3W

Organization

A
aviation industry corporation of china (avic)
Scholars:
1.7K
Papers: 1.4K
Citations: 2