DocumentCode :
3472557
Title :
Estimation of high count rate signals with a digital filter
Author :
Shertukde, H.M. ; Godbout, L.F. ; Elmurr, S.C.
Author_Institution :
Hartford Univ., West Hartford, CT, USA
fYear :
1993
fDate :
1-3 Aug. 1993
Firstpage :
379
Lastpage :
381
Abstract :
A methodology for estimating the magnitude of signals generally found in a high-count-rate (HCR) system is presented. An analog system which is presently used for estimating such HCR signals has a moderate resolution and poor throughput. In order to enhance these performance measures, a digital signal processor design which maximizes the signal-to-noise ratio (SNR) of the sequence of measurements is used. The signal to be considered is deterministic and assumed to be known, and is corrupted by colored noise due to inherent sensor imperfections and the environment. By using the digital filter the improvement in resolution is marginal, whereas the expected improvement in throughput is considerable. The performance of the digital signal processor is evaluated for a SNR value of approximately 65 dB.<>
Keywords :
digital filters; filtering and prediction theory; signal processing; 65 dB; S/N ratio; colored noise; digital filter; digital signal processor; high count rate signal estimation; Digital filters; Filtering; Prediction methods; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Engineering, 1991., IEEE International Conference on
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-0173-0
Type :
conf
DOI :
10.1109/ICSYSE.1991.161157
Filename :
161157
Link To Document :
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