Enhancement of processing gain by selection of acceptance parameters applied to detection of signals buried in noise
Barron, James Devens
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The nature and merits of Tegulometric frequency Analysis (TFA) in determining the presence of weak signa!s in a noise background have been reported in previous works 1-6 . TFA is based on the statistical properties of the signal plus noise, Frequency is determined by a zero crossing technique. Due to the complex nature of the beating phenomenon in narrowband filtered signal plus noise waveforms, it has not been possible to satisfactorily describe TFA in analytical terms. This thesis presents the results of an experimental investigation of the feasibility of a new technique for detection of a sinusoidal signal in noise by defining acceptance parameters for amplitude and constancy of frequency. The selection of these statistical parameters has been demonstrated to enhance the detection of a weak signal in noise and produce an effective "processing gain" .
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