Title :
Time domain approach to wideband source location
Author :
Wang, Y.D. ; Fuchs, J.J.
Author_Institution :
IRISA, Rennes I Univ.
Abstract :
Consideration is given to the multiple source location problem, using a linear array of equispaced sensors. The method works in the time domain, and uses as a starting point the matrix covariance sequence of the vector of sensor outputs. The spectra of the source signals are assumed to be unknown and rational, but the approach can be easily extended to spectra that are flat in a fixed and known frequency band. The procedure is based on the block Hankel matrix built on the estimated matrix covariance sequence. The properties of this matrix are investigated, and it is shown that its rank is deficient. As for the spectral density matrix in the narrowband case, one can thus define a signal subspace. The identification of the vectors that generate this subspace and the location of the sources by the maxima of the projections of these vectors on the signal subspace then remain
Keywords :
computerised picture processing; digital simulation; estimation theory; matrix algebra; signal detection; time-domain analysis; block Hankel matrix; estimated matrix covariance sequence; identification; linear array of equispaced sensors; matrix covariance sequence; multiple source location; sensor outputs; signal subspace; source signals; spectral density matrix; time domain; vector; wideband source location; Covariance matrix; Frequency; Matrix decomposition; Narrowband; Position measurement; Sensor arrays; Signal generators; Signal processing; Symmetric matrices; Vectors; Wideband;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116215