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

Autor: Dahai Dai, Bo Pang, Xuesong Wang, Hao Wu, Tao Zhou
Rok vydání: 2019
Předmět:
single target
Computational complexity theory
Computer science
0211 other engineering and technologies
Energy Engineering and Power Technology
maximum likelihood estimation
02 engineering and technology
Interval (mathematics)
novel monopulse
01 natural sciences
levenberg–marquardt optimisation
exact angle information
Radar imaging
Range (statistics)
traditional monopulse techniques
ml-lm
unresolved targets
021101 geological & geomatics engineering
computational complexity
Observational error
maximum likelihood estimation problem
imaging framework
arrival estimation
010401 analytical chemistry
General Engineering
Direction of arrival
angle measurement error
angular measurement
0104 chemical sciences
radar imaging
angle interval adaptability
Levenberg–Marquardt algorithm
direction-of-arrival estimation
lcsh:TA1-2040
Monopulse radar
imaging algorithm
target tracking
lcsh:Engineering (General). Civil engineering (General)
measurement errors
lm optimisation
Algorithm
precise angle measurement
multiple targets
Software
forward-looking radar beam
Zdroj: The Journal of Engineering (2019)
ISSN: 2051-3305
Popis: 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.
Databáze: OpenAIRE
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