UP	Paper 1632	US-W-P	DOWN
Reduced Complexity Detection of Shaped Offset QPSK
Nelson,Tom		Brigham Young University
Rice,Michael		Brigham Young University
Much work has been done regarding the detection of Shaped Offset QPSK (SOQPSK) and Feher-patented QPSK (FQPSK). The optimum detector for each modulation is a trellis detector that exploits the memory inherent in these waveforms. The optimum trellis detectors for these waveforms have fairly high complexity (as measured in the number of trellis states). As a result, work has been done to reduce the complexity of these trellis detectors. In this paper we further that work and present a low complexity trellis detector that provides bit error rate performance that is near optimal.
Tom Nelson received his BSEE and MSEE from Brigham Young University and worked for seven years in industry as a design and development engineer working for Signal Science, Inc., Allen Telecom, Condor Systems, and Radix Technologies. He worked in the fields of wireless communications and digital signal processing and worked on developing embedded, real-time systems. Tom is currently pursuing a PhD in Electrical Engineering at Brigham Young University in the field of wireless communications with an emphasis in space-time coding and bandwidth efficient modulations.