西南交通大学学报2013，Vol.48Issue(1)：102-106,115,6.DOI:10.3969/j.issn.0258-2724.2013.01.016
一种基于ADS-B的雷达误差实时融合校正算法
ADS-B-Based Algorithm for Real-Time Optimal Estimation of Radar Biases
摘要
Abstract
In order to improve the surveillance accuracy of radars in China's central and western regions, where multiple coverage does not come true and majority airplanes are not equipped with ADS-B ( automatic dependent surveillance-broadcast) , an ADS-B-based algorithm for real-time optimal estimation of radar biases was proposed on the basis of the radar biases theory. The algorithm can achieve a real-time optimal estimation of radar biases by the data fusion based on the difference between ADS-B data and radar data at the same time as well as the real-time calibration of the radar. The simulation of a case study shows that the root mean square of biases between calibrated and real range values is about 50 m, the root mean square of biases between calibrated and real angle values is about 0. 04°, and the calibrated radar trajectories are essentially coincident with actual trajectories. ADS-B ( automatic dependent surveillance-broadcast ) ; data fusion; real-time关键词
ADS-B/数据融合/实时校正/卡尔曼滤波/雷达/航迹跟踪Key words
calibration/ Kalman filtering/ radar/ tracking分类
信息技术与安全科学引用本文复制引用
吴振亚,王明辉,张瑞平,阿都建华,胡俊..一种基于ADS-B的雷达误差实时融合校正算法[J].西南交通大学学报,2013,48(1):102-106,115,6.基金项目
国家自然科学基金资助项目(60736045) （60736045）
