Title :
BAD: bidirectional arbitrated decision-feedback equalization
Author :
Nelson, J.K. ; Singer, A.C. ; Madhow, U. ; McGahey, C.S.
Author_Institution :
Coordinated Sci. Lab., Univ. of Illinois, Urbana, IL, USA
Abstract :
The bidirectional arbitrated decision-feedback equalizer (BAD), which has bit-error rate performance between a decision-feedback equalizer (DFE) and maximum a posteriori (MAP) detection, is presented. The computational complexity of the BAD algorithm is linear in the channel length, which is the same as that of the DFE, and significantly lower than the exponential complexity of the MAP detector. While the relative performance of BAD to those of the DFE and the MAP detector depends on the specific channel model, for an error probability of 10-2, the performance of BAD is typically 1-2 dB better than that of the DFE, and within 1 dB of the performance of MAP detection.
Keywords :
computational complexity; decision feedback equalisers; diversity reception; error statistics; maximum likelihood detection; multipath channels; BER performance; bidirectional arbitrated decision-feedback equalization; bit-error rate; computational complexity; digital communication; error probability; maximum a posteriori detection; multipath channel; time-reversal diversity; Bit error rate; Computational complexity; Decision feedback equalizers; Delay estimation; Detectors; Digital communication; Engineering profession; Error probability; Intersymbol interference; Multipath channels; Arbiter; decision-feedback equalizers (DFEs); digital communications; equalizers; multipath channels; time-reversal diversity;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2004.841980