Design on Airborne Positioning System Based on Improved Kalman Filtering

For improving the efficiency of positioning during radio signal source locating, it designs airborne positioning system based on the modified Kalman filtering. Using software radio technology, FPGA is adopted to improve algorithm efficiency. The sequential fusion algorithm with Kalman filtering is introduced to TDOA-AOA joint locating. Different data observing values are uploaded to the fusion center. Finally, according to the different observing data, the optimal estimation results are obtained. Field tests show the positioning system proposed here can improve the positioning accuracy efficiency.