摘要
针对跟踪过程中,由于目标机动的随机性,可能出现目标跟踪丢失的情况,提出了一种融合毫米波数据和红外数据的目标跟踪技术。将毫米波和红外两传感器的工作频率设成互补状态,用毫米波传感器进行测距,红外传感器进行测角,并分别独立的对观测空间进行门限滤除,然后对两传感器门限滤除后所获得的数据利用D-S证据理论进行融合,最后利用融合后更加精确的数据进行目标关联,形成航迹。该技术可以实现全天候工作。实验证明了该方法的有效性。
Aimed at the possibility that the targets may get lost in the tracking process due to its maneuverability and randomcity, an all-weather target tracking method which fused MMW and IR data was proposed. Making the frequency of MMW and IR sensor complementary, MMW a method which fuses the data of MMW and IR is proposed. MMW sensor measures the angle, and IR sensor measures the distance. So as to make the frequency of MMW and IR sensor complementary, MMW sensor measured a distance and IR sensor measured an angle. Dual-threshold filtered the observation space and D-S evidence theory fused the data. The more accurate data after fused could conjunct and track the target continentally.
出处
《红外技术》
CSCD
北大核心
2006年第6期334-337,共4页
Infrared Technology
基金
航天科技创新基金(编号:N4CH008)
西北工业大学研究生创新实验中心(编号:05061)