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.
