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Publikováno v:
IEEE Transactions on Signal Processing. 45:2265-2276
For pt.III see ibid., vol.45, no.9, p.2253-64, 1997. We present a subspace-based direction finding method for coherent signal environments using an antenna array. Our method, which uses fourth-order statistics, is capable of resolving more signals th
Autor:
Jerry M. Mendel, M.C. Dogan
Publikováno v:
Signal Processing. 53:109-116
An interesting equation developed by Giannakis and Mendel (1989), and referred to by others (e.g., Friedlander and Porat (1989)) as the ‘GM equation’, links higher-order statistics to second-order statistics. In this paper, we show how this equat
Autor:
M.C. Dogan, Jerry M. Mendel
Publikováno v:
IEEE Transactions on Signal Processing. 43:1663-1676
The main motivation of using higher order statistics in signal processing applications has been their insensitivity to additive colored Gaussian noise. The main objection to those methods is their possible vulnerability to non-Gaussian noise. The aut
Autor:
Jerry M. Mendel, M.C. Dogan
Publikováno v:
IEEE Transactions on Signal Processing. 43:1200-1216
An interpretation for the use of cumulants in narrowband array processing problems is proposed. It is shown how fourth-order cumulants of multichannel observations increase the directional information compared with second-order statistics. Based on t
Autor:
Jerry M. Mendel, M.C. Dogan
Publikováno v:
IFAC Proceedings Volumes. 27:101-106
Array signal processing is a very rich area for applications of higher-order statistics. This paper provides a short overview of: cumulant-based blind beamforming, virtual cross-correlation computer, the virtual ESPRIT algorithm (VESPA), waveform rec
Autor:
M.C. Dogan, Jerry M. Mendel
Publikováno v:
[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.
Sensor response, location uncertainty, and use of sample statistics can severely degrade the performance of optimum beamformers. We propose blind estimation of the source steering vector in the presence of multiple, directional, correlated or coheren
Autor:
Jerry M. Mendel, M.C. Dogan
Publikováno v:
[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing.
The authors consider the detection and classification of multiple non-Gaussian linear sources by superposition of their waveforms available from a single sensor whose measurements are possibly corrupted by additive Gaussian noise. It is shown that by