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Author:

Dou, H. (Dou, H..) | Zhu, Z. (Zhu, Z..) | Gao, L. (Gao, L..)

Indexed by:

Scopus PKU CSCD

Abstract:

Since the two-dimensional MUSIC algorithm has a large amount of computation and slow computation when estimating the angle of arrival, a two-dimensional MUSIC spectral peak search algorithm was proposed based on chicken swarm optimization (CSO). This optimization combined the chicken swarm algorithm with the MUSIC algorithm and the CSO algorithm was applied to the spectral search part, and the angle corresponding to the spectral peaks was searched rapidly with a better searching capability of CSO. Simulation experiments show that the CSO can effectively overcome the computational complexity and huge volume of computation complexity in spectral peak search and by comparing with other bionic algorithms, the CSO has quicker convergence, greater stability and better accuracy. © 2018, Editorial Department of Journal of Beijing University of Technology. All right reserved.

Keyword:

Chicken swarm optimization (CSO); Direction of arrival (DOA) estimation; MUSIC algorithm; Spectral peak search; Swarm intelligence algorithm

Author Community:

  • [ 1 ] [Dou, H.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Zhu, Z.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Gao, L.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2018

Issue: 11

Volume: 44

Page: 1409-1413

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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