DocumentCode
921755
Title
Averaging logarithms for detection and estimation (Corresp.)
Author
Ricker, George G. ; Williams, Jack R.
Volume
20
Issue
3
fYear
1974
fDate
5/1/1974 12:00:00 AM
Firstpage
378
Lastpage
382
Abstract
In a number of applications in signal processing it is desirable to estimate the logarithm of the average of noisy physical measurements by averaging
independent logarithms of the measurements. Only a modest number of bits are necessary in the logarithmic averaging process, which is used in logarithmic radar receivers to improve the effective dynamic range where post-detection averaging occurs, and in ensemble averaging spectral coefficients prior to the detection decision. A knowledge of the estimation error and of the detectability loss becomes important in these applications. This correspondence extends and generalizes Green\´s work in detection using averaged logarithms and presents an averaging loss methodology for continuous
. It gives numerical detectability loss results for a representative detection criterion. It contains further results on estimation accuracy attainable from summed logarithms, including numerical results for estimation error as a function of
and SNR.
independent logarithms of the measurements. Only a modest number of bits are necessary in the logarithmic averaging process, which is used in logarithmic radar receivers to improve the effective dynamic range where post-detection averaging occurs, and in ensemble averaging spectral coefficients prior to the detection decision. A knowledge of the estimation error and of the detectability loss becomes important in these applications. This correspondence extends and generalizes Green\´s work in detection using averaged logarithms and presents an averaging loss methodology for continuous
. It gives numerical detectability loss results for a representative detection criterion. It contains further results on estimation accuracy attainable from summed logarithms, including numerical results for estimation error as a function of
and SNR.Keywords
Parameter estimation; Radar detection; Signal detection; Estimation error; Fluctuations; Gaussian noise; H infinity control; Optical receivers; Optical signal processing; Quantum mechanics; Radar detection; Signal detection; Signal to noise ratio;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1974.1055228
Filename
1055228
Link To Document