基于联合概率密度的多传感器定位算法  

A Multi-Sensor Localization Algorithm Based on Joint Probability Density

作　　者：赵志超[1,2] 王雪松[1] 肖顺平[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073 [2]七三六三零部队,福州350002

出　　处：《传感技术学报》2009年第10期1446-1450,共5页Chinese Journal of Sensors and Actuators

基　　金：国家自然科学基金资助(60875019)

摘　　要：讨论了多传感器多目标定位问题,提出了一种新颖的定位算法。分析了目标在观测空间的概率分布,基于空间栅格划分,实现了目标概率密度的准确求解,通过提取联合概率密度峰值得到了目标位置估计。理论分析表明,该算法的计算量仅与传感器和目标数的乘积成正比,当传感器和目标较多时,不会出现组合爆炸。该方法定位精度高,适合并行处理,仿真结果验证了本文方法的有效性和可靠性。The multi-sensor multi-target localization problem is discussed, and a novel localization algorithm is proposed. At first, the probability distribution of target in the observe space is analyzed, then based on spatial grid, the probability density of target is calculated with high precision. By finding the peak of joint probability density, the position estimate of target has been computed. Theoretic analysis shows that the computation cost is proportional to the product of the number of sensors and that of targets, and will not lead to combinatorial explosion. The presented method has a high precision and is suit for parallel processing, simulation results verify the feasibility and validity of the proposed technique.

关 键 词：多传感器 定位 联合概率密度 空间栅格 

分 类 号：TN97[电子电信—信号与信息处理]