DSCE: Comparative Analysis of Heuristic Computational Techniques
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Authors
Bany Muhammad, Nooh
Ghauri, Sajjad
Sarfraz, Mubashar
Aftab, Adnan
Issue Date
2021-06-01
Type
Journal Article
Peer-Reviewed
Peer-Reviewed
Language
Keywords
Alternative Title
Abstract
A frequency-selective fast-fading channel degrades the performance of a signal as it introduces inter-symbol interference (ISI) and inter-carrier interference (ICI). Equalization is the process of eliminating ISI and ICI by adaptively updating the tap weights of the FIR filter. The work presented utilizes various heuristic computational techniques (HCTs) to adaptively update the weights for doubly selective channel equalization (DSCE). Various HCTs are also compared, including genetic algorithms (GAs), particle swarm optimization (PSO), differential evolution (DE), cat swarm optimization (CSO), bee colony optimization (BCO), hybrid GA-PSO (HGP), and the cuckoo search algorithm (CSA). Extensive simulations were performed in MATLAB, and the simulation results show that PSO outperforms the other HCTs in terms of computational time complexity and FoM.
Description
Citation
Nooh Bany Muhammad ,Sajjad A. Ghauri, Mubashar Sarfraz, Adnan Aftab DSCE: Comparative Analysis of Heuristic Computational Techniques. IEIE Transactionson Smart Processing and Computing (2021).http://ieiespc.org/ieiespc/ArticleDetail/RD_R/404952
Publisher
IEIE Transactions on Smart Processing and Computing