The Whole Story Behind Blind Adaptive Equalizers/ Blind Deconvolution

Indexed in: Scopus, EBSCO.

It is well known that Intersymbol (ISI) Interference is a limiting factor in many communication environments where it causes an irreducible degradation of the bit error rate (BER) thus imposing an ...
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Advantages and Disadvantages of Each Approach

Pp. 68-77 (10)

Monika Pinchas

Abstract

In this chapter we explain the advantages and disadvantages of the Bayesian and Cost function approach. In doing so we also explain what is the meaning of higher order statistics (HOS) which is widely used in blind equalization, the reason why using HOS (order ≥ 3) in blind equalization and why HOS can not be applied for Gaussian input signals.

Keywords:

Bayesian approach, Cost function approach, higher order statistics (HOS), mo- ments, cumulants, blind deconvolution, inverse lter, Maximum Entropy density approximation technique, Edgeworth expansion, nonlinearity function

Affiliation:

Department of Electrical and Electronic Engineering, Ariel University Center of Samaria, Ariel 40700, ISRAEL