Title :
Iterative detection in block-orthogonal and spatially multiplexed multisensor signaling schemes
Author_Institution :
Univ. of Maryland, Baltimore, MD, USA
fDate :
4/1/2005 12:00:00 AM
Abstract :
The impact of iterative minimum mean square error (MMSE) detection on multisensor signaling schemes in frequency-selective media is considered. The suitability of a decision-feedback MMSE (DF-MMSE) front end relative to a linear MMSE (LMMSE) front end is examined using two case studies, namely, layered spatial-multiplexing and block-orthogonal space-time signaling. Iterative MMSE detection is observed to afford near-optimal performance. Further, in channels with large delay spreads, a combination of the LMMSE and DF-MMSE front ends seems appropriate: the former in earlier iterations and the latter in concluding iterations.
Keywords :
MIMO systems; block codes; decision feedback equalisers; iterative decoding; least mean squares methods; sensor fusion; signal detection; space-time codes; telecommunication channels; telecommunication signalling; MIMO channel; block code; block-orthogonal multisensor signaling scheme; decision feedback; frequency-selective media; iterative detection; minimum mean square error detection; space-time signaling; spatially multiplexed multisensor signaling scheme; Block codes; Delay; Demodulation; Fading; Feedback; Frequency diversity; Iterative decoding; MIMO; Mean square error methods; Signal to noise ratio; Decision feedback; MIMO channels; equalization; iterative detection; minimum mean square error; orthogonal space-time block codes; spatial multiplexing;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.843696
