Please use this identifier to cite or link to this item:
http://142.54.178.187:9060/xmlui/handle/123456789/4751Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zaka, Imran | - |
| dc.date.accessioned | 2017-12-14T05:00:32Z | - |
| dc.date.accessioned | 2020-04-11T15:32:52Z | - |
| dc.date.available | 2020-04-11T15:32:52Z | - |
| dc.date.issued | 2011 | - |
| dc.identifier.uri | http://142.54.178.187:9060/xmlui/handle/123456789/4751 | - |
| dc.description.abstract | This 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.sponsorship | Higher Education Commission, Pakistan. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | UNIVERSITY OF ENGINEERING AND TECHNOLOGY TAXILA | en_US |
| dc.subject | Sciences | en_US |
| dc.title | Jammer Excision Based on Computational Intelligence Techniques | en_US |
| dc.type | Thesis | en_US |
| Appears in Collections: | Thesis | |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.