Please use this identifier to cite or link to this item: http://prr.hec.gov.pk/jspui/handle/123456789/2450
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dc.contributor.authorZaka, Imran-
dc.date.accessioned2017-12-14T05:00:32Z-
dc.date.available2017-12-14T05:00:32Z-
dc.date.issued2011-
dc.identifier.uri http://prr.hec.gov.pk/jspui/handle/123456789//2450-
dc.description.abstractThis thesis deals with the removal of jamming signal in Code Division Multiple Access (CDMA) system. Nature inspired computational intelligence techniques have been studied and applied for the removal of jamming signal from the corrupted received CDMA signal. CDMA systems are generally immune from interference however if power of interferer is higher than the immunity provided by processing gain, degradation in Bit Error Rate (BER) performance is observed. Particle Swarm Optimization, Genetic Algorithm, Artificial Bee Colony and Ant Colony Optimization are the computational intelligence techniques being proposed for removal of jammer from received CDMA signal. These techniques have been optimized for fast convergence and minimum complexity. Performance comparison with existing techniques has also been provided. Performance improvement is shown by BER mininmization.en_US
dc.description.sponsorshipHigher Education Commission, Pakistan.en_US
dc.language.isoenen_US
dc.publisherUNIVERSITY OF ENGINEERING AND TECHNOLOGY TAXILAen_US
dc.subjectSciencesen_US
dc.subjectPhysicsen_US
dc.subjectElectricity & electronicsen_US
dc.subjectEngineering & allied operationsen_US
dc.titleJammer Excision Based on Computational Intelligence Techniquesen_US
dc.typeThesisen_US
Appears in Collections:PhD Thesis of All Public / Private Sector Universities / DAIs.

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