Title :
Novel iterative equalization based on energy-spreading transform
Author :
Hwang, Taewon ; Li, Ye
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
In this paper, novel iterative equalization for intersymbol interference (ISI) channels is proposed. Different from the existing turbo equalization, the proposed one is based on energy-spreading transform (EST), which separates equalization and coding, and therefore works for uncoded systems. The complexity of the proposed scheme is comparable to that of decision-feedback equalization (DFE). However, analytical and simulation results demonstrate that its performance is very close to the matched-filter bound (MFB) when the signal-to-noise ratio (SNR) is above a threshold.
Keywords :
channel coding; decision feedback equalisers; intersymbol interference; iterative decoding; matched filters; signal processing; decision-feedback equalization; energy-spreading transform; intersymbol interference channel; iterative equalization; matched-filter bound; signal-to-noise ratio; turbo equalization; AWGN; Analytical models; Computational complexity; Decision feedback equalizers; Detectors; Frequency; Intersymbol interference; Maximum likelihood decoding; Nonlinear filters; Performance analysis; Channel modeling, estimation, and equalization, and signal processing for communications;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2005.861098
