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机构地区:[1]重庆邮电大学移动通信技术重点实验室,重庆400065
出 处:《通信技术》2008年第7期50-52,共3页Communications Technology
基 金:教育部科学技术研究重点项目(No.207097)
摘 要:针对静止单站无源定位系统中只用到达角作为观测量不能对静止目标定位,且对动态目标定位时间长,定位精度不高,不利于实时跟踪,提出了在观测站匀加速运动下,利用角度变化率作为观测量的定位方法。通过运用扩展卡尔曼滤波算法进行计算机仿真表明,观测站匀加速运动下,利用到达角和角度变化率对高速飞行的物体进行定位跟踪,能够得到定位精度高,收敛速度快的估计量,更适用实时环境。In the light that the single observer passive location system has no source fixed position, only the arrive cape as the prognosis quantity can't locate the static target, and would take long time for locating dynamic target and result in bad accuracy and real-time performance. With observation post in even acceleration move, a location method is proposed, which takes angle changing rate as observation value, Simulation shows that with observation post in even acceleration move and by making use of arrive cape and angle changing rate, the location tracing of high-speed flying object can be carried out, and a prognosis quantity with highly accurate location and fast convergence is thus obtained, which is more applicable to real-time environment.
关 键 词:单站无源定位 方位角 方位角变化率 扩展卡尔曼滤波
分 类 号:TN929.5[电子电信—通信与信息系统]
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