Adaptive Multichannel Reception of Binary Signals
Abstract
The dissertation considers the optimization problem of adaptive multichannel reception of binary signals which are corrupted multiplicatively by random amplitude parameters with no known a priori distributions, and additively by white Gaussian noise processes of known spectral densities which we allow to be different among the channels. A distinction is made between two modes of operation: "multiple processing," in which the unknown amplitude parameters are estimated and used 'adaptively' to adjust weighting factors in a composite decision rule, and based on this, a decision is made within each observation interval; the other, in which the processing is carried out independently at each receiver, arriving at an ultimate decision using "majority logic" combining. This latter mode is found to yield consistently higher error probability but may be simpler in implementation than the former in that the requirement for estimation is obviated.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 1969
- Accession Number
- AD0691017
Entities
People
- Bassim Shawaf
Organizations
- University of California, Los Angeles