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PSO- AND GA-BASED NARROWBAND JAMMER EXCISION IN CDMA

IMRAN ZAKA

Center for Advanced Studies in Engineering, Department of Computer Engineering, G-5/1, Islmabad, Pakistan

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HABIB UR REHMAN

Center for Advanced Studies in Engineering, Department of Computer Engineering, G-5/1, Islmabad, Pakistan

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SYED ISMAIL SHAH

Iqra University, H-9, Islamabad, Pakistan

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, and

JAMIL AHMAD

Iqra University, H-9, Islamabad, Pakistan

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https://doi.org/10.1142/S0218126610005949Cited by:1 (Source: Crossref)

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.

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