On the Blind Separation of Signals from Moving Sources Using Switching and Tuning

In this paper, we present a conceptually simple solution to the problem of blind separation of signals whose sources are moving. Essentially, a set of beams are cast, one for each signal. These are based on an adaptive version of the minimum-variance distortion less response beam former. Each beam p...

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description In this paper, we present a conceptually simple solution to the problem of blind separation of signals whose sources are moving. Essentially, a set of beams are cast, one for each signal. These are based on an adaptive version of the minimum-variance distortion less response beam former. Each beam pattern is such that the gain is a maximum along the direction-of-arrival of a signal, and nulls along the directions of all other signals. The weights are switched whenever there is spatial coherence between the signals. The arrival-directions of all signals are determined using the ESPRIT algorithm.
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subjects Arrays
Blind separation
Direction of arrival estimation
Interference
moving sources
Signal to noise ratio
Spatial coherence
Switches
switching and tuning
title On the Blind Separation of Signals from Moving Sources Using Switching and Tuning
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