Accession Number : AD0762048

Title :   Performance Comparison of a Sub-Optimal Array Processor.

Descriptive Note : Summary technical rept. 1971-72,

Corporate Author : DUKE UNIV DURHAM N C ADAPTIVE SIGNAL DETECTION LAB

Personal Author(s) : Hodgkiss,William Searles , Jr

Report Date : DEC 1972

Pagination or Media Count : 92

Abstract : The purpose of the research is to compare the performance of two detection receivers for the signal known except for direction (SKED) array problem. Each receiver represents a different approach to the problem's solution--one is designed under the Bayesian philosophy (parametric) and the other uses a classical beam sweeping approach. These are noted as the optimal and sub-optimal detectors, respectively. It is shown that both processors can be implemented as estimate and plug structures using the conditional likelihood ratio. The two estimators used are the pseudo estimate (X(PSE)) and maximum likelihood estimate (X(MLE)). An in depth discussion of these two estimators reveals that X(PSE) is simply equal to X(MLE) plus a data dependent correction term. A performance comparison is made for the two and three element array cases. It is shown that the sub-optimal detector performs the same as the optimal detector when A sub zero = zero (uniform a priori knowledge). Furthermore, for a two element array, the results are proven analytically. (Author)

Descriptors :   (*INFORMATION THEORY, STATISTICAL ANALYSIS), DECISION THEORY, ANTENNA ARRAYS, PROBABILITY DENSITY FUNCTIONS, RANDOM VARIABLES, DETECTORS, DETECTION, MATHEMATICAL MODELS, COMPUTER PROGRAMS

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE