A THEORETICAL ANALYSIS OF A COMPRESSED-TIME CORRELATOR FOR SIGNAL DETECTION
Author(s) -
Shuying Zhang
Publication year - 1976
Publication title -
acta physica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.25.235
Subject(s) - computer science , pulse compression , signal (programming language) , matched filter , filter (signal processing) , smoothing , acoustics , noise (video) , envelope (radar) , detection theory , signal processing , compressed sensing , set (abstract data type) , doppler effect , algorithm , speech recognition , physics , radar , telecommunications , artificial intelligence , computer vision , astronomy , detector , image (mathematics) , programming language
The theoretical problems of a compressed-time correlator are investigated from the viewpoint of signal detection. Through discussion of the LMF arid PR signals, some useful conclusions and basic formulas concerning the output signal, spectrum structure, Doppler filter set-up, noise background, SNE gain and signal envelope smoothing are obtained. As a consequence, it has been possible to design an improved sound pulse-compression receiver.
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