Monopulse forward-looking imaging algorithm based on Levenberg–Marquardt optimisation

The Journal of Engineering

Bo Pang¹  Hao Wu¹  Tao Zhou¹  Xuesong Wang¹  Dahai Dai¹ 

[1] State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology;

关键词: angular measurement;    computational complexity;    maximum likelihood estimation;    target tracking;    measurement errors;    direction-of-arrival estimation;    radar imaging;    imaging algorithm;    levenberg–marquardt optimisation;    precise angle measurement;    traditional monopulse techniques;    exact angle information;    single target;    multiple targets;    novel monopulse;    maximum likelihood estimation problem;    lm optimisation;    ml-lm;    arrival estimation;    unresolved targets;    forward-looking radar beam;    imaging framework;    angle measurement error;    angle interval adaptability;   

DOI  :  10.1049/joe.2019.0149

来源: DOAJ

【 摘 要 】

With precise angle measurement, traditional monopulse techniques for forward-looking imaging can acquire exact angle information of one single target within a radar beam. However, when multiple targets exist in a beam, it is difficult to resolve them. To address this problem, a novel monopulse forward-looking imaging algorithm based on Levenberg–Marquardt (LM) optimisation is proposed. The core idea of this algorithm is to solve maximum likelihood estimation problem based on LM optimisation (ML-LM) to obtain the direction of arrival (DOA) estimation of unresolved targets. First, the echo model of two targets within a forward-looking radar beam is established, then the imaging framework of the proposed algorithm is introduced. Finally, the advantages of ML-LM are illustrated based on a series of evaluation criterion, including angle measurement error for various values of signal-to-noise ratio (SNR), angle interval adaptability and computational efficiency. The simulation results show that two targets within a forward-looking radar beam can be resolved and relocated accurately utilising the proposed algorithm. Meanwhile, the comparison with other algorithms shows it has higher DOA estimation accuracy, less computational complexity and a wider range of angle interval adaptability.

【 授权许可】

Unknown