Application of quantization theory to data detection in the presence of nuisance parameters
Copyright policy )Application of quantization theory to data detection in the presence of nuisance parameters
Summary: This work introduces a 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.
- Colorado State University United States
- Concordia University Canada
Estimation and detection in stochastic control theory, discrete nuisance parameter space, discrete phase offset space, Detection theory in information and communication theory, nuisance parameter quantizations, iterative design algorithm, data detection
Estimation and detection in stochastic control theory, discrete nuisance parameter space, discrete phase offset space, Detection theory in information and communication theory, nuisance parameter quantizations, iterative design algorithm, data detection
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