Channel equalization using a Kalman filter for fast data transmission
IBM Journal of Research and Development
Paper: A theoretical analysis of recursive identification methods
Automatica (Journal of IFAC)
Discrete-time fixed-lag smoothing algorithms
Automatica (Journal of IFAC)
Intersymbol interference and error probability
IEEE Transactions on Information Theory
On receiver structures for channels having memory
IEEE Transactions on Information Theory
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
IEEE Transactions on Information Theory
An adaptive receiver for digital signaling through channels with intersymbol interference
IEEE Transactions on Information Theory
Feedback equalization for fading dispersive channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Further results on the Viterbi algorithm equalizer (Corresp.)
IEEE Transactions on Information Theory
Can the zero-lag filter be a good smoother?
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
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This paper describes a novel approach to automatic channel equalization in digital transmission systems. The approach is based on the use of a finite-dimensional rational approximation to the channel characteristics. This class of channel approximation has the following advantages: it allows a finite parametrization of the channel impulse response which may be of infinite duration, it allows for the possibility of the noise being colored, it applies to either single- or multiple-channel systems, and it has the pedigogical advantage that many other algorithms in current use are based on models which are special cases of this model. The rational approximation to the channel characteristics is used in the paper to develop a new receiver structure using fixed-lag smoothing ideas. Simulation studies are presented showing that the receiver offers advantages over other algorithms for mitigating the effects of intersymbol and interchannel interference including those arising from carrier phase errors.