Study on the Elimination of MIMO Signal Interference in Data Chain System

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.