As an important material and technical support of the data link system, the communication network system not only plays an “adhesive” role in integrating the combat forces, optimizing the operational composition and realizing the complementary advantages of the system, but also greatly expands the system functions of the data link due to the accelerated expansion of the communication technology functions.In order to further improve the communication rate of data chain, Multiple Input Multiple Output (MIMO) signals are introduced into it.Based on the data chain system, the Maximum Likelihood detection algorithm (Maximum Likelihood, ML) is introduced to detect the outgoing MIMO signals layer by layer, aiming at the problem of error propagation in the serial interference elimination.ML algorithm is used to eliminate the inherent error propagation problem and improve the performance of the early detection signal, so as to improve the performance of the whole signal.The simulation results show that the new detection algorithm, the local optimal detection algorithm (Local ML - zero forcing - OSIC, LML - ZF - OSIC), can eliminate the interference and noise of different antennas, complete the signal detection, and improve the capacity of the data link system without increasing the bandwidth and transmission power.

作为数据链路系统的重要物质和技术支持，通信网络系统不仅在整合作战力量，优化作战组成，实现系统互补优势方面发挥了“黏附”作用，而且极大地扩展了系统由于通信技术功能的加速扩展，数据链路的功能不断增强。为了进一步提高数据链的通信速率，引入了多输入多输出（MIMO）信号。基于数据链系统，Maximum针对串行干扰消除中的误差传播问题，引入了似然性检测算法（Maximum Likelihood，ML）来逐层检测出局MIMO信号。ML算法用于消除固有的误差传播问题，提高早期检测信号的性能，从而改善整个信号的性能。仿真结果表明，新的检测算法是局部最优检测算法（Local ML -零强制-OSIC，LML-ZF-OSIC），可以消除不同天线的干扰和噪声，完成信号检测，并在不增加带宽和发射功率的情况下提高数据链路系统的容量。可以消除不同天线的干扰和噪声，完成信号检测，并在不增加带宽和发射功率的情况下提高数据链路系统的容量。可以消除不同天线的干扰和噪声，完成信号检测，并在不增加带宽和发射功率的情况下提高数据链路系统的容量。