Adaptive filter theory
Digital processing of random signals: theory and methods
Digital processing of random signals: theory and methods
Convergence analysis of finite length blind adaptive equalizers
IEEE Transactions on Signal Processing
Non-Gaussian multivariate adaptive AR estimation using the superexponential algorithm
IEEE Transactions on Signal Processing
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A new adaptive algorithm for blind interference rejection and multipath mitigationis studied and applied to antenna array processing in TDMA cellular communication systems. It is shown how the estimation of multiple signals from different sources by means of a multi-sensor receiver can be formulated as amulti-channel deconvolution problem.The proposed method is based on High-Order Statistics (HOS) processingof the baseband vector samples at the antenna array output. The similarity between the cumulant-based solution and the standard multi-variable Least Squares solution is exploited to derivean efficient adaptive algorithm based on the vector lattice architecture. The algorithm is numerically stable,considerably less complex than other existing multi-channelmethods using HOS processing and exhibits rapid convergence with respect to blind array processing algorithms using simple gradient-based minimization procedures.