Title :
Application of quantization theory to data detection in the presence of nuisance parameters
Author :
Nassar, Carl R. ; Soleymani, M. Reza
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
fDate :
6/1/1999 12:00:00 AM
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
Keywords :
interference (signal); iterative methods; quantisation (signal); receivers; data detection; discrete phase offset space; nuisance parameters; parallel receiver structure; performance; quantization theory; Additive noise; Algorithm design and analysis; Frequency; Intersymbol interference; Iterative algorithms; Noise robustness; Parameter estimation; Performance gain; Phase detection; Quantization;
Journal_Title :
Communications, IEEE Transactions on
