Performance Comparison of a Sub-Optimal Array Processor.
Summary technical rept. 1971-72,
DUKE UNIV DURHAM N C ADAPTIVE SIGNAL DETECTION LAB
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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 problems 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 XPSE and maximum likelihood estimate XMLE. An in depth discussion of these two estimators reveals that XPSE is simply equal to XMLE 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