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- Title
PSO- AND GA-BASED NARROWBAND JAMMER EXCISION IN CDMA.
- Authors
ZAKA, IMRAN; REHMAN, HABIB UR; SHAH, SYED ISMAIL; AHMAD, JAMIL
- Abstract
Narrowband jammer excision is formulated as an optimization problem in this paper. Optimal filter weights are calculated/searched for by the computational intelligence techniques. We compare the error rate performance, complexity, and implementation issues of various computational intelligence techniques like Particle Swarm Optimization (PSO), Genetic Algorithm, and Least Mean Square (LMS). These techniques update the excision filter weights iteratively till the convergence criteria has been achieved. Bit Error Rate performance shows these techniques effectively suppress the Narrow Band Interference. It has been observed that PSO-based algorithm with tuned parameters outperforms other schemes of PSO and the other algorithms. It approaches the optimum performance in fewer iterations with ease in implementation.
- Subjects
COMPUTATIONAL intelligence; ERROR rates; PARTICLE swarm optimization; GENETIC algorithms; ARTIFICIAL intelligence
- Publication
Journal of Circuits, Systems & Computers, 2010, Vol 19, Issue 1, p123
- ISSN
0218-1266
- Publication type
Article
- DOI
10.1142/S0218126610005949