The application of Laguerre partial series expansions for broadband array processing

A new method of reducing the observation time threshold required to make high resolution broadband spatial spectral estimates is presented. Based on a Laguerre operator expansion of the measured array output a stochastic rational approximation of the received process is introduced. The attraction of the multichannel Laguerre (MCL) approach presented here is the generation of a low order model of the array output process. Such a rational representation is motivated by the approximation of the propagation steering vector by a Laguerre partial series expansion employing only a few modeling coefficients. Performance comparisons between the MCL approach and other broadband strategies are presented which illustrate the applicability of the MCL method in reducing observation time threshold.

Duke Scholars

Author Jeffrey L. Krolik Electrical and Computer Engineering