Research On High Precision Target Localization Technology In UAV

UAV is considered to be the main battlefield reconnaissance aircraft in future because of itsunique flexibility and superiority. The airborne photo-electricity measurement equipment (APME)fixed on UAV tracks and measures the target, and then the position of the target is given with theknown position and attitude information of UAV to assist battlefield command or military strikes.There is a great gap in targeting area between our country and others, therefore, target locationmethods in the situation that multi-information fusion navigation system is supposed to be theairborne navigation system are researched.The single station targeting method is studied first. The overall program of this method and thecorresponding target location algorithm which uses the relative distance and angle information in onemeasurement of APME to calculate the target location in geodetic coordinate system is designed.Sources of the target locating error are simulated and analyzed then.In order to eliminate the impact of low attitude measurement precision, a target location planwhich only uses the multiple relative distance information is proposed. It can take advantage ofmulti-point measurements based on homogeneous coordinate conversion. A further discussion of thebest maneuver manner in the targeting stage is carried. It shows that maneuvering can improve theattitude navigation performance and meet the requirements of the multi-distance target locationtechnology at the same time.In order to meet the need of high precision absolute positioning technology of UAV, anINS/GPS/CNS/SAR multi-navigation program is constructed. A new fault-tolerant federated Kalmanfilter which uses the fault detection function of each sub-filter to construct dynamic informationdistribution coefficients and time-varying observation noise is proposed. Its performance is better thanthat of the traditional federated filter with the fault isolation part in improving faulty sub-filter’accuracy, ensuring healthy sub-filters’ robustness, and improving global estimation performance.At last, a simulation platform is designed and completed, which provides a theoretical study andalgorithm verification platform for the studied technology.