In this article we derive the optimal (soft) RAKE MRC (maximum ratio combiner) under a sparse channel model. In contrast to many previous approaches, we do not separate the problem of channel estimation and symbol detection. Instead we treat the problem of symbol detection given data and a training sequence together. We illustrate the performance of our approach by numerical examples.
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