Design of transformation matrices for array processing and spectral analysis
- 1 January 1991
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1389-1392 vol.2
- https://doi.org/10.1109/icassp.1991.150682
Abstract
Two methods are proposed for designing transformation matrices in array processing and spectral analysis: the stochastic method and the p-norm based method. The authors had previously presented the stochastic method for spatial smoothing, but they did not explicitly formulate the problem using the concept of stochastic transformation. The stochastic method can also be used in other applications if the signal statistics are known or can be estimated. The stochastic method enjoys the advantage of being able to utilize a priori signal statistics. The p-norm based method chooses the vector p-norm as the objective function for optimization, and it provides options to satisfy different designing specifications.Keywords
This publication has 5 references indexed in Scilit:
- Direction finding using an interpolated arrayPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Improved spatial smoothing techniques for DOA estimation of coherent signalsIEEE Transactions on Signal Processing, 1991
- Improvement on the estimation of covariance matrices by incorporating cross-correlationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- Focussing matrices for coherent signal-subspace processingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
- Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sourcesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985