Bit-Level Deterministic Sequential Monte Carlo Method for MIMO Wireless Systems

This paper presents a low-complexity, bit-level deterministic sequential Monte Carlo (DSMC) detection algorithm for MIMO systems that employ large signal constellations. The proposed algorithm employs natural mapping signals and the QR decomposition of augmented composite channel matrix to convert the DSMC algorithm to the bit-level DSMC algorithm. For M-QAM signal constellation, the computational complexity of the proposed algorithm is linear with modulation order, while the existing DSMC algorithms have an exponential increasing complexity with the modulation order. Simulation results show that the bit-level DSMC algorithm can achieve almost the same BER performance as the existing DSMC algorithms with lower complexity.