Title :
Improved detection performance of an FM signal by autoregressive spectral analysis
Author_Institution :
University of Rhode Island, Kingston, RI
Abstract :
Conventional narrowband detectors suffer large losses in detection performance when the assumed sinusoidal receive signal is actually frequency modulated. Such would be the case for the detection of a maneuvering target by a passive sonar system. Based upon autoregressive spectral analysis a detector is presented which is nearly invariant to frequency modulation. In fact, for a large enough frequency modulation the autoregressive detector yields about a 4 dB improvement in detection performance over the conventional narrow-band detector. Furthermore, the autoregressive detector is a CFAR receiver and requires less computation and storage than a conventional narrow-band detector. Thus, the autoregressive detector should be an attractive complement to a conventional narrowband detector.
Keywords :
Detectors; Doppler shift; Frequency estimation; Frequency modulation; Gaussian noise; Matched filters; Narrowband; Phase detection; Sonar; Spectral analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
DOI :
10.1109/ICASSP.1981.1171280