RATE-CONSTRAINED TARGET DETECTION. SUMMARY REPORT

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Authors
  1. Goulding, M.M.
  2. Bird, J.S.
Corporate Authors
Simon Fraser Univ, Burnaby BC (CAN) Underwater Research Lab;Defence Research Establishment Ottawa, Ottawa ONT (CAN)
Abstract
Summary of Report. Real-world detection systems, such as radars, control resources that are limited in their processing ability. This report introduces a new detection criterion designed to operate under the limitations imposed by such resource constraints. In contrast to the Neyman-Pearson framework which constrains the false-alarm rate, the rate-constraint criterion maximizes the detection probability of the test subject to a constraint on the threshold crossing (hit) rate. The resulting likelihood ratio test is practical since the hit rate is both controllable and observable, unlike the false-alarm rate which is only controllable. The single-stage rate-constraint criterion is extended to the multi-stage case where a number of individual detectors are cascaded; each test is slower but more capable than the previous. A new parameter, the SLOC function (the slope of the Receiver Operating Characteristic Curve when plotted on log-log axes) is derived and seen to be critical to the performance of a detection sustem utilizing such a sequence of tests. Provided the SLOC numbers for the individual tests are properly ordered, the overall system detection performance under a wide range of criterion (Bayes, Neyman-Pearson, Maximum Mutual Information) is maximized when the rate-constraint criterion is used for all stages but the last. TRUNCATED.
Keywords
SLOC function;Neyman-Pearson theory;Resource-constrained detection;Models
Report Number
URL-TR-93-01A;DREO-CR-93-616 — Technical Report; Contract Report (Final)
Date of publication
01 Mar 1993
Number of Pages
37
DSTKIM No
95-02193
CANDIS No
148372
Format(s):
Document Image stored on Optical Disk;Hardcopy

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