Simulation of BPSK Communication: Using MMSE Linear Equalization for SISO and SIMO Models
Department
Electrical and Computer Engineering
Major
Electrical Engineering
Research Advisor
Xiao, Chengshan
Advisor's Department
Electrical and Computer Engineering
Funding Source
Office of Naval Research
Abstract
The simplest form of a communication system is when one sending node and one receiving node are paired through a transmission channel (SISO). In this situation, data is easily compromised by noise and inter-symbol interference (ISI) from the channel’s characteristics. By implementing a Minimum Mean-Square Error Linear Equalizer (MMSE LE), which uses the known channel characteristics, which are of finite length, as well as noise variance, the bit error rate (BER) can be minimized with respect to the ratio of signal power against noise power (SNR). A more complex communication system than SISO is the implementation of multiple nodes on the receiving end (SIMO). By using multiple receivers and implementing a MMSE LE, the BER can be dramatically reduced without having to increase bandwidth or transmission power.
Biography
Matthew Bloom is a senior in Electrical Engineering at the Missouri University of Science and Technology, and will be graduating with honors in May of 2010. Matthew worked on the university’s solar car team during his first three years of college, and during his sophomore year, he was elected as Treasurer of the team. Matthew has participated in two research projects throughout his undergraduate career, the first being with Prof. Sudip Mazumder at the University of Illinois at Chicago. There, he worked on digital logic timing as well as basic power electronics. His current project is with Dr. Chengshan Xiao at Missouri S&T, focusing on BPSK communication and the errors that accompany transmission through imperfect channels. Matthew has worked on this project since September of 2009, and has finished the task asked of him, but plans to continue research with Dr. Xiao until his graduation.
Research Category
Engineering
Presentation Type
Oral Presentation
Document Type
Presentation
Location
Ozark Room
Presentation Date
07 Apr 2010, 10:30 am - 11:00 am
Simulation of BPSK Communication: Using MMSE Linear Equalization for SISO and SIMO Models
Ozark Room
The simplest form of a communication system is when one sending node and one receiving node are paired through a transmission channel (SISO). In this situation, data is easily compromised by noise and inter-symbol interference (ISI) from the channel’s characteristics. By implementing a Minimum Mean-Square Error Linear Equalizer (MMSE LE), which uses the known channel characteristics, which are of finite length, as well as noise variance, the bit error rate (BER) can be minimized with respect to the ratio of signal power against noise power (SNR). A more complex communication system than SISO is the implementation of multiple nodes on the receiving end (SIMO). By using multiple receivers and implementing a MMSE LE, the BER can be dramatically reduced without having to increase bandwidth or transmission power.
