Detection of transient signals in multipath environments

This research examines methods for detecting unknown transient waveforms that are contaminated by noise. The sensitivity of the performance levels of the energy detector and the lack of knowledge about the structure of the transient waveform motivate the examination of other moment- or spectra-based detection techniques. We examine the performance of a bispectral energy detector and show that its performance will degrade if the bispectra is smoothed and that signals with no bispectral content can be detected if the bispectra is not smoothed. Further, it is shown that the performance levels of the bispectral detector are slightly better, and slightly less sensitive, than those of the energy detector for the multipath linear frequency modulated signal. Finally, the performance levels of narrowband implementations of the energy and bispectral energy detectors are compared. It is shown that for a large enough sample, the performance levels of the bispectral detector are nearly as good as those of the optimal energy detector for the single narrowband signal case. However, when the received waveform contains multiple narrowband components, the narrowband bispectral detector performs slightly better than the energy detector. >

[1]  R. Dwyer Use of the kurtosis statistic in the frequency domain as an aid in detecting random signals , 1984 .

[2]  Georgios B. Giannakis,et al.  Signal detection and classification using matched filtering and higher order statistics , 1989, IEEE Trans. Acoust. Speech Signal Process..

[3]  Approximations to distant shipping noise statistics , 1978 .

[4]  P. A. Delaney,et al.  A bibliography of higher-order spectra and cumulants , 1994 .

[5]  Stuart C. Schwartz,et al.  Underwater noises: Statistical modeling, detection, and normalization , 1988 .

[6]  M. Hinich Detecting a transient signal by bispectral analysis , 1990 .

[7]  W. Burdic Underwater Acoustic System Analysis , 1984 .

[8]  Andrew P. Sage,et al.  On Sonar Signal Analysis , 1970, IEEE Transactions on Aerospace and Electronic Systems.

[9]  P. A. Nielsen Information transmission using phase coupling , 1992, [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.

[10]  Gary R. Wilson,et al.  Detection of non-Gaussian signals in non-Gaussian noise using the bispectrum , 1990, IEEE Trans. Acoust. Speech Signal Process..

[11]  M.R. Raghuveer,et al.  Bispectrum estimation: A digital signal processing framework , 1987, Proceedings of the IEEE.

[12]  P. A. Delaney,et al.  Performance analysis of the incoherent and skewness matched filter detectors in multipath environments , 1995 .

[13]  Kevin W. Baugh,et al.  On the detection of transient signals using spectral correlation , 1994 .

[14]  Dennis R. Powell,et al.  CLASS A MODELING OF OCEAN ACOUSTIC NOISE PROCESSES , 1989 .

[15]  G. R. Wilson,et al.  Bispectral Characterization of Ocean Acoustic Time Series: Nonlinearity and Non-Gaussianity , 1989 .

[16]  Hagit Messer,et al.  Suboptimal detection of non-Gaussian signals by third-order spectral analysis , 1990, IEEE Trans. Acoust. Speech Signal Process..

[17]  P. A. Delaney,et al.  Signal detection using third-order moments , 1994 .

[18]  K. R. Hardwicke,et al.  Coherent harmonic detection using non-stationary higher order spectra , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[19]  Edmund J. Sullivan,et al.  Active sonar detection in multipath: A New bispectral analysis approach , 1994 .

[20]  R. Dwyer,et al.  Erratum: "Asymptotic detection performance of discrete power and higher-order spectra estimates" , 1985 .

[21]  George E. Ioup,et al.  Aliasing and sampling criteria for higher‐order correlations , 1992 .