An Investigation of Nonlinear Adaptive Space-Time Processing for the Real-Time Detection of Extraterrestrial Transients

The detection and classification of extraterrestrial transients has become increasingly important to the scientific community. Current methods for achieving these goals are effective but computationally expensive. This paper investigates the potential of the augmented form of the least mean squared adaptive processor for real time beamforming in order to assist in the detection of transient signals. The extension of the adaptive least mean squared processor to the wideband non-linear form is detailed and a brief overview of bispectral analysis is given. The augmented LMS processor is found to be capable of detecting a desired signal based on its nonlinear properties.