| Title |
DSCE: Comparative Analysis of Heuristic Computational Techniques |
| Authors |
(Nooh Bany Muhammad) ; (Sajjad A. Ghauri) ; (Mubashar Sarfraz) ; (Adnan Aftab) |
| DOI |
https://doi.org/10.5573/IEIESPC.2021.10.3.259 |
| Keywords |
Doubly selective channel equalization; Heuristic computational techniques; Genetic algorithm; Particle swarm optimization; Bee colony optimization |
| 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. |