多被动传感器系统四时差量测数据关联算法  

Four-TDOA data association algorithm for multipassive-sensor system

作　　者：周莉[1] 李洪波[1] 杨秀珍[2] 何友[2] 

机构地区：[1]鲁东大学管理学院,山东烟台264025 [2]海军航空工程学院、信息融合技术研究所,山东烟台264001

出　　处：《哈尔滨工业大学学报》2009年第3期190-192,共3页Journal of Harbin Institute of Technology

基　　金：国家自然科学基金资助项目(60672139,60672140);鲁东大学博士启动基金资助项目(LY20065901)

摘　　要：针对已有四时差数据关联算法在多目标环境下性能较差的不足,提出一种基于新关联度的局部最优数据关联算法,并在此基础上,进一步提出基于统计量检验的两级数据关联算法,给出各种算法的复杂性分析.与已有四时差数据关联算法相比,新关联度算法目标正确关联率高,而所提两级数据关联算法除具有上述优点外还具有运算复杂性较低的优点,仿真实验验证了新算法的可行性与有效性.In order to improve the performance of data association algorithm for four time difference of arrival （four-TDOA） in multi-target environments, a new local optimal data association algorithm based on correlation degree is proposed, and a 2-stage association algorithm based on statistical test is presented as well. The analysis of complexity of those algorithms is given. Compared with the four-TDOA data association algorithm, the new algorithm based on correlation degree has higher accuracy of data association, and the 2-stage algorithm has both the advantages of higher accuracy and less complexity. Simulation results show the feasibility and validity of the new algorithms.

关 键 词：数据互联 关联度 时差 多被动传感器系统 

分 类 号：TN953[电子电信—信号与信息处理]