摘要
针对由同平台红外传感器和被动雷达组成的多传感器数据融合系统中航迹相关问题,提出一种纯方位航迹稳健相关算法。该算法构造了一种离散高斯隶属函数,并利用该函数对航迹中的方位信息进行模糊化,形成高斯型方位信息模糊量,基于Hausdroff距离定义了方位模糊量相似度,利用多个周期的方位模糊量相似度定义了纯方位航迹稳健相关度和相关度矩阵,采用最低相关度门限与全局最优相结合的策略确定航迹相关对,实现航迹相关判定。仿真试验结果表明,该算法能有效地实现红外传感器和被动雷达纯方位航迹相关判定。
Aiming at the problem of track-to-track correlation in the multi-sensor data fusion system composed of infrared sensor and pas- sive radar on the same platform, a bearing-only track robustness correlation algorithm is presented. In this algorithm, a discrete Gaussian membership function is constructed and used to calculate the Gaussian fuzzy number of the bearing information, the bearing fuzzy number similitude degree is defined based on the Hausdroff distance, and the bearing-only robustness correlation degree and correlation matrix are defined using the multi-period bearing fuzzy number similitude degree. The lowest correlation degree threshold combined with global optimum policy is adopted to determine the track-to-track correlative pair and implement track-to-track correlation determination. Simulation experiment results show that the proposed algorithm can effectively achieve infrared sensor and passive radar bearing-only track correlation determination.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2012年第11期2629-2634,共6页
Chinese Journal of Scientific Instrument
基金
国防预研基金资助项目(51306030201
9140A06040111CB39)
船舶基金(11J3.7.2)资助项目
关键词
红外传感器
被动雷达
纯方位航迹相关
方位模糊量相似度
稳健相关度
infrared sensor
passive radar
bearings-only track correlation
bearing fuzzy number similitude degree
robustnesscorrelation degree
