Quantum-inspired cultural fireworks algorithm for direction finding of monostatic MIMO radar. (20th December 2021)

• Record Type: Journal Article
• Authors: Gao, Hongyuan; Sun, Helin; Cui, Wen; Zhao, Haijun
• Is Part Of: International journal of wireless and mobile computing. Volume 21:Number 2(2021)
• Page Start: 182
• Page End: 190
• Publication Date: 2021-12-20
• Subjects: MIMO radar -- direction finding -- fireworks algorithm -- cultural algorithm -- quantum computation; Mobile computing -- Periodicals; Wireless communication systems -- Periodicals; 004.6
• Languages: English
• ISSNs: 1741-1084

Abstract

For the sake of resolving the direction finding difficulties of coherent sources and obtaining high precision for monostatic MIMO radar, a novel intelligent algorithm and a new direction finding method are proposed. At the beginning, quantum-inspired cultural fireworks algorithm (QCFA) is put forward as a novel intelligent algorithm which utilises the quantum explosion formula to improve fireworks algorithm (FA) and obtain the superiority of fast convergence rate and low computational complexity. As a critical procedure of QCFA, the explosion process of fireworks is mimicked as the guided cultural behaviour, which can increase the search performance of FA to obtain the optimal solution. Afterwards a new direction finding equation of infinite-norm maximum likelihood (IML) is deduced for the monostatic MIMO radar. A novel direction finding method for monostatic MIMO radar is put forward on the basis of QCFA and IML algorithm, which can be described as QCFA-IML. QCFA-IML method not only has high direction finding precision, but also is efficient for locating coherent and independent sources. Monte-Carlo simulation results have indicated the superiority and availability of the proposed QCFA-IML method for direction finding of monostatic MIMO radar, and outperform other intelligent algorithms.