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Proceedings Paper

A low complexity approach for spread OFDM signal detection
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Paper Abstract

In this paper, a high-dimensional detection problem of single input single output (SISO) spread OFDM system is attempted using low complexity approach. A combination of signal processing procedures is introduced to provide a low complexity detection algorithm with improved performance compared to existing linear detectors such as Minimum Mean Square Error (MMSE). Soft output MMSE is implemented first to provide a reliability measure of all bits in the received vector using an approximated Log Likelihood Ratio (LLR) information. The most reliable bits are deemed correctly received and the least reliable bits undergo Branch and Bound (BB) detection process in a sequential manner. Within this block of unreliable bits, BB starts with the most unreliable bits and then the second most unreliable bits and so on. Simulation results show that the proposed technique provides improved performance with a significant reduction in the computational complexity.

Paper Details

Date Published: 21 May 2014
PDF: 9 pages
Proc. SPIE 9103, Wireless Sensing, Localization, and Processing IX, 91030B (21 May 2014); doi: 10.1117/12.2050697
Show Author Affiliations
Ali Elghariani, Purdue Univ. (United States)
Michael Zoltowski, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 9103:
Wireless Sensing, Localization, and Processing IX
Sohail A. Dianat; Michael David Zoltowski, Editor(s)

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