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Distributed adaptive algorithms for large dimensional MIMO systems

A distributed algorithm for MIMO adaptive filtering is introduced. This algorithm distributes the adaptive computation over a set of linearly connected computational modules. Each module transmits data to and receives data from its nearest neighbor. A back-propagation LMS based algorithm is presented for adapting the parameters in each module. The performance surface is explored to identify upper bounds on each parameter and guidelines for choosing the LMS algorithm step sizes. An example illustrates the application of the algorithm.