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Share  Title: Blind De-convolution of BPSK and QPSK modulated signal using...

 

 
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Signal processing is the most important part of most of the electronics and software system designed for electronics. Signal processing plays a very important role in most of the wireless communication, image processing and Speech processing problems. Most of the applications of wireless communication involve transmission of data accurately from source to destination. Most often, the transmitted signal suffers from noise addition, interference and other medium of transmission (also known as channel) factors. In most cases, we can approximate the channel by a Linear Time-Invariant (LTI) system. Thus, a signal can be assumed to pass through a LTI system with impulse response of channel before reaching destination.At the receiver end, we need to perform some kind of post-processing to nullify the effect of channel LTI filter. So, the problem reduces to find the input given the output and channel LTI filter. However, in most of the cases, channel LTI filter is not known before hand. So, the problem of finding input becomes more difficult. There have been a lot of algorithms introduced in literature which try to find LTI filter based on knowledge of input and output signals. Since, the whole motive of the problem is to find the input signal given the received signal; receiver tries to find the solution by receiving some known part of the signal sent by transmitter. This kind of signal is referred to as pilot signal. Least Mean Square (LMS), Recursive Least Square (RLS), Normalized Recursive Least Square (NRLS) are some of the most famous algorithm to perform such operations. Pilot signal reduces the transmission bandwidth efficiency of the channel. Hence, we need to find the transmitted signal just by the knowledge of received signal. This problem of finding the transmitted signal with the use of received signal only is referred to as ‘Blind De-convolution’. In this project, we discuss the problem of Blind Equalization with the help of “Constant Modulus Algorithm’ (CMA) which is a non-linear algorithm and a very special class of more general ‘BussGang‘algorithm.

 
 
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Keywords

blind  deconvolution  bussgang  CMA  LMS  NRLS  NLMS  RLMS  
 
 
 About This Document
 
 Subject Electrical Engineering
 Category Term Paper
 Views 707
 Downloads 345
 Added 12-09-09
 Contributor   ravigarg
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