Application of quantization theory to data detection in the presence of nuisance parameters

Abstract

This work introduces an iterative design algorithm for establishing the discrete nuisance parameter space (e.g., discrete phase offset space) for application in data detection. Data detection is shown to be surprisingly robust to course nuisance parameter quantizations. A parallel receiver structure based on the discretization is introduced and its significant performance gains are summarized.