Abstract
We propose a blind algorithm to determine the order and estimate the coefficients of multiple-input single-output (MISO) communication channels. The proposed order detection method exploits the sensitiveness of a Chi-square test statistic to the non Gaussianity of a stochastic process. Order detection is coupled with channel parameter estimation in a nested-loop operation based on a deflation-type technique using the 4th-order output cumulants. Successively treating shorter and shorter channels, we can also determine the number of sources. Simulation results illustrate the performance of the proposed algorithm.
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Fernandes, C.E.R., Comon, P., Favier, G. (2009). Blind Order Detection and Parameter Estimation of MISO-FIR Channels. In: Adali, T., Jutten, C., Romano, J.M.T., Barros, A.K. (eds) Independent Component Analysis and Signal Separation. ICA 2009. Lecture Notes in Computer Science, vol 5441. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00599-2_32
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DOI: https://doi.org/10.1007/978-3-642-00599-2_32
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