Maximum likelihood (ML) detection is an optimal signal detection scheme, which is often difficult to implement due to its high computational complexity, especially in a multiple-input multiple-output (MIMO) scenario. In a system with $N_t$ transmit antennas employing $M$-ary modulation, the ML-MIMO detector requires $M^{N_t}$ cost function (CF) evaluations followed by a search operation for detecting the symbol with the minimum CF value. However, a practical system needs the bit-error ratio (BER) to be application-dependent which could be sub-optimal. This implies that it may not be necessary to have the minimal CF solution all the time. Rather it is desirable to search for a solution that meets the required sub-optimal BER. In this work, we propose a new detector design for a SISO/MIMO system by obtaining the relation between BER and CF which also improves the computational complexity of the ML detector for a sub-optimal BER.
翻译:最大可能性(ML)探测是一种最佳信号探测办法,由于计算复杂程度很高,往往难以执行,特别是在多投入多输出(MIMO)假设情况下。在一个使用美元-美元调制的传输天线系统,ML-MIMO探测器需要用美元-美元调制,在使用美元-美元传输天线的系统中,ML-MIMO探测器需要用美元-N_t}美元成本函数(CF)进行评估,然后进行搜索,以最小CF值探测符号。然而,一个实际系统需要比特-eror比率(BER)依赖应用,而这种比率可能是次最佳的。这意味着可能没有必要始终拥有最低的CFP溶液。相反,我们建议为SISO/MIMO系统寻找一个新的探测器设计,通过获得BER与CFC之间的关系,从而提高一个亚最佳BERML探测器的计算复杂性。