Title :
Minimum BER block precoders for zero-forcing equalization
Author :
Ding, Yanwu ; Davidson, Timothy N. ; Luo, Zhi-Quan ; Wong, Kon Max
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
Abstract :
We determine the linear precoder that minimizes the bit error rate (BER) at moderate-to-high signal-to-noise ratios (SNRs) for block transmission systems with zero-forcing (ZF) equalization and threshold detection. The design is developed for the two standard schemes for eliminating inter-block interference, viz, zero padding (ZP) and cyclic prefix (CP). We show that both the ZP minimum BER precoder and the CP minimum BER precoder provide substantially lower error rates than standard block transmission schemes, such as orthogonal frequency division multiplexing (OFDM). The corresponding SNR gains can be on the order of several decibels. We also show that the CP minimum BER precoder can be obtained by a two-stage modification of the water-filling discrete multitone modulation (DMT) scheme in which the diagonal water-filling power loading is replaced by a full matrix consisting of a diagonal minimum mean square error power loading matrix post multiplied by a discrete Fourier transform (DFT) matrix.
Keywords :
discrete Fourier transforms; equalisers; error statistics; linear codes; matrix algebra; CP minimum BER precoder; DFT matrix; DMT; MMSE diagonal power loading matrix; OFDM; SNR; SNR gains; ZP minimum BER precoder; bit error rate; block transmission schemes; cyclic prefix; diagonal water-filling power loading; discrete Fourier transform matrix; inter-block interference; minimum BER block precoders; orthogonal frequency division multiplexing; signal-to-noise ratio; threshold detection; water-filling discrete multitone modulation; zero padding; zero-forcing equalization; Bit error rate; DSL; Digital modulation; Discrete Fourier transforms; Interference elimination; Mean square error methods; OFDM modulation; Signal to noise ratio; Standards development; Transmitters;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2003.815387