Cultural quantum-inspired shuffled frog leaping algorithm for direction finding of non-circular signals
| Autor: | Hongyuan Gao, Congqiang Xu |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Mathematical optimization
Computational complexity theory Cultural algorithm Direction finding Applied Mathematics Theoretical Computer Science Domain (software engineering) Computational Mathematics Computational Theory and Mathematics Convergence (routing) Key (cryptography) Algorithm Quantum Quantum computer Mathematics |
| Zdroj: | International Journal of Computing Science and Mathematics. 4:321 |
| ISSN: | 1752-5063 1752-5055 |
| DOI: | 10.1504/ijcsm.2013.058066 |
| Popis: | In order to resolve complex continuous optimisation problem, a cultural quantum-inspired shuffled frog leaping CQSFL algorithm is proposed. The proposed CQSFL applies the quantum knowledge strategy and new quantum leaping equations to shuffled frog leaping algorithm, and thus has the advantages of low computational complexity and fast convergence. As a key step of CQSFL algorithm, leaping movement is modelled as guided cultural behaviour and thus may improve the capability of SFLA to find the optimal solution. Then we applied the proposed CQSFL algorithm in direction finding problem of non-circular signals, which is a hot spot in domain of communication. Then, based on CQSFL algorithm and non-circular maximum likelihood NML algorithm, a new direction finding method is proposed, which is called CQSFL-NML algorithm. Monte-Carlo simulations have proved that the CQSFL-NML method has good performance for non-coherent and coherent non-circular signals. |
| Databáze: | OpenAIRE |
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