In this paper, an adaptive receiver with memory for fading communication channels is considered. The receiver consists of an estimator and a detector. The estimator is a finite-memory MMSE estimator with decision-feedback which minimizes the probability of error of the receiver. Asymptotic approximations are employed to derive an adaptive decision rule based on the estimate. An example is presented where the receiver with memory is shown to perform better than an optimum receiver without memory.
ASJC Scopus subject areas
- Electrical and Electronic Engineering