| Summary: | 碩士 === 國立雲林科技大學 === 電子與資訊工程研究所 === 99 === Multiple-input multiple-output (MIMO) systems have shown significant increase in spectral efficiency using arrays of transmit and receive antennas with spatial processing. The performance improvements resulting from MIMO systems come at the cost of increasing the computational complexity in the receiver for signal detection. It is well known that maximum likelihood (ML) detection is considered the optimum method. However, ML detection is an NP-hard problem and is thus regarded as unfeasible especially for large number of transmit antennas and high-order modulation. Therefore, computational complexity in signal detection is the most critical issue for practical MIMO applications.
In this thesis, we proposed MMSE-SQRD with Post-Sorting-Algorithm apply in a modified ant colony optimization (MACO) and modified- pre-MACO for MIMO signal detection, it easy to obtain highly-reliable heuristic values, resulting in accelerating the ant colony optimization to reach convergence. Finally, we use the FPGA to implement MACO.
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