| Summary: | 碩士 === 國立交通大學 === 電信工程研究所 === 99 === Many solutions for detecting signals transmitted over flat-faded multiple input multiple output (MIMO) channels have been proposed, e.g., the zero-forcing (ZF) detector, minimum mean squared error (MMSE) detector,
brutal-force maximum likelihood (ML) detector, sphere decoding (SD) algorithm, to name a few. These approaches however either do not provide soft-output or suffer from high complexity when being modified to a soft-output counterpart.
In this thesis, we focus on the soft-output SD algorithm and the methods of its computational complexity reduction. We will first illustrate that the
single tree search (STS), ordered QR decomposition, channel matrix regularization, and log-likelihood ratio clipping can reduce the decoding complexity but at a price of the performance degradation. We then present a new algorithm for soft detection in an MIMO system. Simulations
show that our new method can achieve simultaneously less performance degradation and less decoding complexity
than the existing methods.
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