针对协同空战中激光数据链路系统传输的友机雷达探测信息与本机红外搜索跟踪系统(IRST)探测信息的不同特性，提出一种基于最优数据压缩的异步信息融合方法来提高探测系统性能。分析了包括时间配准、空间对准、数据融合、目标跟踪的信息融合过程，并通过仿真，对融合前、后所得的观测曲线与目标真实轨迹的比较及其误差曲线进行对比分析，融合后的方位角和俯仰角的误差已经维持在2mrad以内,结果表明该方法可以有效提高数据的精度。

Aiming at the different characteristics between the detection information of infrared search and track (IRST) system and the radar detection information of friend aircraft transmitted by laser data link system in cooperative air combat, an asynchronous information fusion method based on optimum data compression was put forward to improve the capability of detecting system. The information fusion processes, including time registration, space alignment, data fusion and target tracking, were analyzed. Beside, the observation curve, real contrail and error curve before and after fusion were respectively contrasted and analyzed. The errors of azimuth angle and pitch angle were kept within 2mrad after fusion. Result shows the method can improve the data precision effectively.