海军航空工程学院学报2015，Vol.30Issue(6)：531-536,6.DOI:10.7682/j.issn.1673-1522.2015.06.007
杂波环境下基于数据压缩的多传感器容积滤波算法
Algorithm of Muti-Sensor Cubature Filter Based on Data Compressionion Under Clutter Environment
摘要
Abstract
According to the multi-sensor multi-target tracking problem of nonlinear systems in a cluttered environment, a novel cubature Klaman filter algorithm based on M-D assignment and data compressionion (MD-DCCKF) was proposed. In the new algorithm, the measurements from each sensor were permuted and combined, and the best combination would be found according to a rule. Then, the best combination would be compacted into an equivalent measurement which was associated with targets by using the MSJPDA techniques. Finally, the targets'state would be estimated based on cubature Kalman filter. Simulation results showed that MD-DCCKF outperformed the existing algorithms in the aspects of tracking accuracy, convergence rate and filtering robustness.关键词
多维分配/数据压缩/多传感器/多目标跟踪/数据关联/容积卡尔曼滤波Key words
M-D assignment/data compression/multi-sensor/multi-target tracking/data association/cubature Kalman filter分类
信息技术与安全科学引用本文复制引用
刘俊,刘瑜,董凯,孙顺..杂波环境下基于数据压缩的多传感器容积滤波算法[J].海军航空工程学院学报,2015,30(6):531-536,6.基金项目
国家自然科学基金资助项目(61471383) （61471383）
