Blind identification of complex under-determined mixtures

Abstract

Linear Mixtures of independent random variables (the so-called sources) are sometimes referred to as Under-Determined Mixtures (UDM) when the number of sources exceeds the dimension of the observation space. The algorithm proposed is able to identify algebraically a complex mixture of complex sources. It improves an algorithm proposed by the authors for mixtures received on a single sensor, also based on characteristic functions. Computer simulations demonstrate the ability of the algorithm to identify mixtures with typically 3 complex sources received on 2 sensors. © Springer-Verlag 2004.