Joint location and Doppler estimation with fractional lower-order statistics

In wireless distributed multimedia communication networks, the spatial selectivity of an array of sensors can be used in order to operate in close-frequency bands and suppress undesirable noise and interference in favor of the signal of interest. Our emphasis is in the development of methods for direction finding, null- and beam-steering, and waveform recovery in mobile networks. We develop angle and Doppler estimation techniques from measurements retrieved in the presence of impulsive noise (thermal, jamming, or clutter) modeled as a complex isotropic alpha-stable random process. The results are of great importance in the study of wireless communications and of space-time adaptive processing (STAP) applications for airborne pulse Doppler radar arrays operating in impulsive interference environments.