Complexity Reduced Mimo Detection With Three Iterative Loops

The full potential of multiple-input multiple-output (MIMO) wireless technology can be achieved through iterative MIMO decoding with soft information. In iterative MIMO decoder, the complexity can be major obstacle for practical implementation. The soft interference cancellation-minimum mean squared error (SIC-MMSE) approach for detection is considered as a feasible approach due to its complexity-performance tradeoff. In this paper, we show the performance of a SIC-MMSE detection scheme for MIMO system, where three iterative loops are utilized. We employ a single matrix inversion method to reduce complexity, while the third loop inside MIMO detector is employed to improve the reliability of the symbol estimation to enhance the performance. Simulation results demonstrates that the proposed method produces comparable error-rate performance as the conventional schemes with much less complexity.