Accession Number:

ADA239507

Title:

Convergence Performance of Adaptive Detectors. Part 1

Descriptive Note:

Interim rept. 1 Oct 90-30 Sep 91,

Corporate Author:

NAVAL RESEARCH LAB WASHINGTON DC

Personal Author(s):

Report Date:

1991-07-30

Pagination or Media Count:

23.0

Abstract:

Convergence results for a mean level adaptive detector MLAD are presented. The MLAD consists of an adaptive matched filter for spatially correlated inputs followed by a mean level detector MLD. The optimal weights of the adaptive matched filter are estimated from one batch of ata and applied to a statistically independent batch of nonconcurrent data. The threshold of the MLD is determined from the resultant data. Thereafter, a candidate cell is compared against this threshold. Probabilities of false alarm and detection are derived as functions of the threshold factor, the order of the matched filter, the number of independent samples per channel used to calculate the adaptive matched filter weights, the number of samples used to set the MLD threshold, and the output signal-to-noise power ratio of the optimal matched filter. A number of performance curves are shown and discussed.

Subject Categories:

  • Numerical Mathematics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE