载人航天任务测速雷达双通道数据融合方法

针对载人航天任务中高精度测速雷达在实时多主站外弹道融合时仅能采用单通道应答数据参与处理,获得的弹道精度较差,且测速雷达数据利用率仅有50%的问题,提出利用多普勒效应和应答机遥测参数两种方法对测速雷达跟踪模式进行实时准确识别,首先得到测速雷达双通道的应答数据,然后通过改进的非线性滤波+机动模型算法对火箭上升段外弹道测量数据进行高精度融合。最后采用仿真数据对传统方法和新方法的外弹道融合精度进行了比对分析。该方法的应用可有效提高测速雷达测元利用率和载人航天任务火箭上升段外弹道精度,具有较强的工程应用价值。

A Dual-Channel Data Fusion Method for Velocity Measurement Radars in Manned Space Missions

High-precision velocity measurement radars are commonly used in realtime exterior ballistics data fusion of multiple master stations in manned space missions.This single-channel responder data is applied and its utilization rate only reaches 50%.Aiming to accurately identify the tracking patterns of a velocity measurement radar in real time,two methods are proposed.One makes use of Doppler effects,the other utilizes telemetering parameters of the answering machine.First,the answering data in the dual channels of the velocity measurement radar is retrieved.In order to obtain high-precision data fusion of exterior ballistics measurement,an improved algorithm is then presented and it contains non-linear filtering and a flexible model.To compare and analyze the exterior ballistics data fusion effect of the new method with that of the traditional one,simulation is carried out.In addition,the application scope of the dual channels data of the velocity measurement radars is suggested.Simulation results indicate that the proposed methods efficiently increase utilization rate of the measurement elements with high-precision velocity measurement radars and improve exterior ballistics precision in the ascending period of launch vehicles in manned space missions.