Low-Complexity Signal Detection by Multi-Dimensional Search for Correlated MIMO Channels
Multiple-Input Multiple-Output (MIMO) mobile communications have attracted much attention because MIMO can increase system capacity and data-rate without expanding frequency bands. The optimal signal detection for the MIMO system is the Maximum Likelihood Detection (MLD), which can achieve the minimum Bit Error Rate (BER). Unfortunately, the computational complexity of MLD is prohibitive because it increases exponentially with the number of data streams. Thus, suboptimal detection algorithms that can reduce the complexity are required. The Minimum Mean-Square Error (MMSE) detection, which is such a suboptimal detection scheme, needs a very low level of complexity but exhibits poor BER performance owing to the noise enhancement.