Low-Complexity Signal Detection for GSM Based on Group Detection

In order to mitigate the computational complexity of the GSM system, a low-complexity sub-optimal detection algorithm based on group detection and Minimum Mean Square Error (MMSE) detection was proposed in this paper. Firstly, the antenna combinations after group selection were rearranged based on the sorting results of each group of antenna sequences obtained through the sorting algorithm. Subsequently, the MMSE equalization processing detection was applied to the sorted antenna combinations. Then, the modulation symbols obtained after processing were further optimized by combining them with the partial ML algorithm. Finally, the optimal transmit antenna combination and symbols were estimated using the ML algorithm. The simulation results show that the BER performance of the proposed algorithm is comparable to that of the ML algorithm, especially in M-PSK symbol modulation. The BER simulation curve is closer to that of the ML algorithm, while the algorithm's computational complexity is much lower than that of the ML detection algorithm.