Title :
Design of block transceivers with decision feedback detection
Author :
Xu, Fang ; Davidson, Timothy N. ; Zhang, Jian-Kang ; Wong, K. Max
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
fDate :
3/1/2006 12:00:00 AM
Abstract :
This paper presents a method for jointly designing the transmitter-receiver pair in a block-by-block communication system that employs (intrablock) decision feedback detection. We provide closed-form expressions for transmitter-receiver pairs that simultaneously minimize the arithmetic mean squared error (MSE) at the decision point (assuming perfect feedback), the geometric MSE, and the bit error rate of a uniformly bit-loaded system at moderate-to-high signal-to-noise ratios. Separate expressions apply for the "zero-forcing" and "minimum MSE" (MMSE) decision feedback structures. In the MMSE case, the proposed design also maximizes the Gaussian mutual information and suggests that one can approach the capacity of the block transmission system using (independent instances of) the same (Gaussian) code for each element of the block. Our simulation studies indicate that the proposed transceivers perform significantly better than standard transceivers and that they retain their performance advantages in the presence of error propagation.
Keywords :
Gaussian processes; automatic repeat request; error statistics; least mean squares methods; matrix algebra; transceivers; Gaussian code; MMSE; MSE; arithmetic mean squared error; bit loaded system; block transceiver design; block-by-block communication system; decision feedback detection; error propagation; minimum mean square error; signal-to-noise ratio; transmitter-receiver pair; Arithmetic; Closed-form solution; Detectors; Feedback; Interference cancellation; Mutual information; OFDM modulation; Object detection; Transceivers; Transmitters; Bit error rate; block precoding; channel capacity; decision feedback detection; minimum mean-square error; mutual information; zero-forcing;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.861779