摘要
现代空管多采用多雷达联网技术对飞机进行监视,以扩大监视空域的覆盖面积并提高对飞机的监视精度。针对ADS-B和雷达测量数据具有不同周期、不同维的特点,提出了基于自适应变维非线性量测最优线性无偏滤波(BLUF)数据融合方法。首先将三维的非线性量测的最优线性无偏滤波推广到六维的情况,然后针对融合中心收到的量测数据的类型采用不同维的最优线性无偏滤波。该融合方法不但有效地解决了ADS-B和雷达测量数据不同周期、不同维给融合带来的困难,还大大提高了融合的精度。通过仿真证明了自适应变维ADS-B和雷达测量数据融合方法的有效性。
The multi-radar data fusion technology is widely used in the modern air traffic control systems in order to enlarge the surveillance area and to assure the surveillance precision.In this paper,a ADS-B data and radar data fusion algorithm based on variable dimension BLUF（best linear unbiased filtering） with nonlinear measurements is proposed according to the asynchronous and different dimension measurements of ADS-B and radar.Firstly,the three dimensions BLUF with nonlinear measurements is extended to six dimensions condition,then the variable dimension BLUFs are introduced according to measure types that the fusion center receives.The presented data fusion algorithm not only resolves the trouble of the ADS-B data and radar data fusion due to asynchronous and different dimension measurements,but also improves the performance of the data fusion.The simulations presented in the last paper show that the proposed algorithm is effective to solve the passive radar/radar data fusion.
出处
《雷达科学与技术》
2010年第6期526-531,共6页
Radar Science and Technology
