Paper
21 May 2014 A low complexity approach for spread OFDM signal detection
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ali Elghariani and Michael Zoltowski "A low complexity approach for spread OFDM signal detection", Proc. SPIE 9103, Wireless Sensing, Localization, and Processing IX, 91030B (21 May 2014); https://doi.org/10.1117/12.2050697
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Orthogonal frequency division multiplexing

Signal detection

Sensors

Detection and tracking algorithms

Modulation

Reliability

Signal to noise ratio

RELATED CONTENT

Wavelet-packet-based multiple-access communication
Proceedings of SPIE (October 11 1994)
PHY DLL dialogue cross layer design for optical wireless...
Proceedings of SPIE (December 05 2005)
Near-ML multiuser detection
Proceedings of SPIE (August 28 2001)
Improved demodulator for deep space communication
Proceedings of SPIE (October 01 2011)

Back to Top