DocumentCode
944139
Title
The sequential detection of a sine-wave carrier of arbitrary duty ratio in Gaussian noise
Author
Blasbalg, H.
Volume
3
Issue
4
fYear
1957
fDate
12/1/1957 12:00:00 AM
Firstpage
248
Lastpage
256
Abstract
In this paper the Wald theory of sequential analysis is applied to the detection of a sine-wave carrier of arbitrary duty ratio in Gauss]an noise. This is a generalization of a familiar problem. The detector law for the problem is obtained. In particular, it is specialized to the important cases: 1) arbitrary duty ratio and signal-to-noise ratio less than unity and 2) duty ratio much less than unity and peak-signal-to-noise ratio much greater than unity. For the latter case, it is shown that the best detector law goes over into a Bernoulli detector. In the former case it is shown that the only important parameter in detection is the average signal-power to noise-power ratio. For the case of unity duty ratio the detector law goes over into the familiar
characteristic. Furthermore, for threshold signals, it is shown that, in general, a first-order approximation to the logarithm of the likelihood ratio (or to the detector law) does not permit the sequential test to converge at or of the threshold parameters. A second-order approximation is always required. Curves of the operating characteristic function and the average sample number function are given for threshold signals.
characteristic. Furthermore, for threshold signals, it is shown that, in general, a first-order approximation to the logarithm of the likelihood ratio (or to the detector law) does not permit the sequential test to converge at or of the threshold parameters. A second-order approximation is always required. Curves of the operating characteristic function and the average sample number function are given for threshold signals.Keywords
Gaussian processes; Sequential detection; Detectors; Equations; Filters; Gaussian noise; H infinity control; Noise measurement; Probability; Pulse measurements; Radiation detectors; Sequential analysis; Signal to noise ratio;
fLanguage
English
Journal_Title
Information Theory, IRE Transactions on
Publisher
ieee
ISSN
0096-1000
Type
jour
DOI
10.1109/TIT.1957.1057426
Filename
1057426
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