Abstract
The chapter is devoted to usage of proposed methods of the ASSP theory on the case of adaptive spatial partitioning (ASP) of signals with unknown structure. The solution is obtained for the ASP task which is optimal for criterion of maximum signal multiplication under the maximum possible suppression of interferences. The minimax approach is developed for constructing operators. The convergent recurrent algorithms are synthesised for implementing solutions obtained with usage of operators. These robust ASP algorithms are optimal for criteria of maximum for power of useful signal respectively to summarized power of interferences and noise, as well as for minimum power of output signal under constraints. The simple non-parametric algorithm is proposed for the very important practical case of two-element antenna array. It provides partitioning for two independent no-Gaussian signals in the conditions of uncertainty about directions of signal arriving, distance between antennas and their directivity characteristics. The results of simulation are represented for quality analysis of proposed algorithms.
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Titarenko, L., Barkalov, A. (2013). Algorithms of ASP for Not Exactly Known Parameters. In: Methods of Signal Processing for Adaptive Antenna Arrays. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32132-0_8
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DOI: https://doi.org/10.1007/978-3-642-32132-0_8
Publisher Name: Springer, Berlin, Heidelberg
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