Title :
How I learned to love the trellis
fDate :
5/1/2003 12:00:00 AM
Abstract :
Shows how the Viterbi decoding algorithm (VDA) can be used for signal equalization and detection in a way that is quite different from the usual equalization approach of adjusting a received signal via filtering to "reverse" the distortion. With the VDA, the receiver "adjusts itself" so as to make good data estimates from a distorted sequence of waveforms. The main goal of this article has been to provide insight as to how the VDA works and why it is a useful tool for equalizing and detecting signals that can be modeled as outputs from an FSM.
Keywords :
Viterbi decoding; equalisers; finite state machines; signal detection; FSM; VDA; Viterbi decoding algorithm; data estimates; distorted waveform sequence; finite state machine; signal detection; signal equalization; Convolutional codes; Distortion; Equalizers; Intersymbol interference; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Signal detection; Signal processing; Viterbi algorithm;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2003.1203212