Bit-Error-Rate-Minimizing Channel Shortening Using Post-FEQ Diversity Combining and a Genetic Algorithm
Abstract
Channel shortening filter design is a widely examined topic in the literature. Most of the channel shortening equalizer proposals depend on perfect channel state information (CSI). However, this information may not be available in all situations. In cases where the channel state information is not needed, blind adaptive equalization techniques are appropriate. In wireline communication systems, the CSE design is based on maximizing the bit rate, but in wireless systems, there is a fixed bit loading algorithm, and the performance metric is Bit Error Rate (BER) minimization. In this work, a CSE is developed for multicarrier and single-carrier cyclic prefixed (SCCP) systems which attempt to minimize the BER. To minimize the BER, a Genetic Algorithm (GA) is used. If the CSI is shorter than the CP, the equalization can be done by a frequency domain equalizer (FEQ), which is just a bank of complex scalars. However, in the literature the adaptive FEQ design has not been well examined. The second phase of this thesis focuses on different types of algorithms for adapting the FEQ and modifying the FEQ architecture to get a lower BER.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 10, 2009
- Accession Number
- ADA498821
Entities
People
- Gokhan Altin
Organizations
- Air Force Institute of Technology