Title

Simulation of BPSK Communication: Using MMSE Linear Equalization for SISO and SIMO Models

Presenter Information

Matthew Bloom

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

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Apr 7th, 10:30 AM Apr 7th, 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.