On the submission of my Thesis report of "Bacterial Foraging Based Channel Equalizers", I would l... more On the submission of my Thesis report of "Bacterial Foraging Based Channel Equalizers", I would like to extend my gratitude & my sincere thanks to my supervisor Dr.S.K.Patra, Asst. Professor, Department of Electronics and communication Engineering for his constant motivation and support during the course of my work in the last one year. I truly appreciate and value his esteemed guidance and encouragement from the beginning to the end of this thesis. His knowledge and company at the time of crisis would be remembered lifelong. A Ab bs st tr ra ac ct t A channel equalizer is one of the most important subsystems in any digital communication receiver. It is also the subsystem that consumes maximum computation time in the receiver. Traditionally maximum-likelihood sequence estimation (MLSE) was the most popular form of equalizer. Owing to non-stationary characteristics of the communication channel MLSE receivers perform poorly. Under these circumstances 'Maximum A-posteriori Probability (MAP)' receivers also called Bayesian receivers perform better. Natural selection tends to eliminate animals with poor "foraging strategies" and favor the propagation of genes of those animals that have successful foraging strategies since they are more likely to enjoy reproductive success. After many generations, poor foraging strategies are either eliminated or shaped into good ones (redesigned). Logically, such evolutionary principles have led scientists in the field of "foraging theory" to hypothesize that it is appropriate to model the activity of foraging as an optimization process. This thesis presents an investigation on design of bacterial foraging based channel equalizer for digital communication. Extensive simulation studies shows that the performance of the proposed receiver is close to optimal receiver for variety of channel conditions. The proposed receiver also provides near optimal performance when channel suffers from nonlinearities. iii Contents Acknowledgements i Abstract ii Contents iii List of tables iv List of figures v Acronyms and abbreviations vii Legends ix This thesis presents a bacterial foraging implementation of maximum a-posteriori probability (MAP) equalizers based on Bayes's theory. All equalizers developed here are for linear and non-linear channels corrupted with AWGN. It is seen that the advantage provided by the bacterial foraging equalizers in terms of computational complexity and performance gain can provide efficient equalizer design digital communication.
CERTIFICATE This is to certify that the work in this thesis entitled "Bacterial Foraging Based Ch... more CERTIFICATE This is to certify that the work in this thesis entitled "Bacterial Foraging Based Channel Equalizers" by Raghuveer Allamneni, has been carried out under my supervision in partial fulfillment of the requirements for the degree of Master of Technology in 'Telematics and Signal Processing' during session 2005-2006 in the Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela and this work has not been submitted elsewhere for a degree.
On the submission of my Thesis report of "Bacterial Foraging Based Channel Equalizers", I would l... more On the submission of my Thesis report of "Bacterial Foraging Based Channel Equalizers", I would like to extend my gratitude & my sincere thanks to my supervisor Dr.S.K.Patra, Asst. Professor, Department of Electronics and communication Engineering for his constant motivation and support during the course of my work in the last one year. I truly appreciate and value his esteemed guidance and encouragement from the beginning to the end of this thesis. His knowledge and company at the time of crisis would be remembered lifelong. A Ab bs st tr ra ac ct t A channel equalizer is one of the most important subsystems in any digital communication receiver. It is also the subsystem that consumes maximum computation time in the receiver. Traditionally maximum-likelihood sequence estimation (MLSE) was the most popular form of equalizer. Owing to non-stationary characteristics of the communication channel MLSE receivers perform poorly. Under these circumstances 'Maximum A-posteriori Probability (MAP)' receivers also called Bayesian receivers perform better. Natural selection tends to eliminate animals with poor "foraging strategies" and favor the propagation of genes of those animals that have successful foraging strategies since they are more likely to enjoy reproductive success. After many generations, poor foraging strategies are either eliminated or shaped into good ones (redesigned). Logically, such evolutionary principles have led scientists in the field of "foraging theory" to hypothesize that it is appropriate to model the activity of foraging as an optimization process. This thesis presents an investigation on design of bacterial foraging based channel equalizer for digital communication. Extensive simulation studies shows that the performance of the proposed receiver is close to optimal receiver for variety of channel conditions. The proposed receiver also provides near optimal performance when channel suffers from nonlinearities. iii Contents Acknowledgements i Abstract ii Contents iii List of tables iv List of figures v Acronyms and abbreviations vii Legends ix This thesis presents a bacterial foraging implementation of maximum a-posteriori probability (MAP) equalizers based on Bayes's theory. All equalizers developed here are for linear and non-linear channels corrupted with AWGN. It is seen that the advantage provided by the bacterial foraging equalizers in terms of computational complexity and performance gain can provide efficient equalizer design digital communication.
CERTIFICATE This is to certify that the work in this thesis entitled "Bacterial Foraging Based Ch... more CERTIFICATE This is to certify that the work in this thesis entitled "Bacterial Foraging Based Channel Equalizers" by Raghuveer Allamneni, has been carried out under my supervision in partial fulfillment of the requirements for the degree of Master of Technology in 'Telematics and Signal Processing' during session 2005-2006 in the Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela and this work has not been submitted elsewhere for a degree.
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