机构地区: 北京工业大学电子信息与控制工程学院
出 处: 《控制工程》 2009年第S2期117-119,130,共4页
摘 要: 在无线定位系统中,尤其是在室内定位中,非视距(NLOS)误差的存在使定位性能急剧下降。为克服非视距传播带来的定位误差,提出了一种针对NLOS环境下的基于卡尔曼滤波器(KF)的动态跟踪定位算法,将广泛应用于雷达系统和飞机导航系统的成熟的卡尔曼滤波器应用于室内定位中。实验结果表明,该方法可以满足室内环境下无线定位的需求,即使在恶劣的NLOS环境下也能够获得很高的定位精度,是一种可行的无线局域网定位技术。 In wireless positioning systems,especially in the indoor location,the existence of non-line of sight(NLOS)errors makes the performance of the positioning a sharp decline.A dynamic tracking algorithm is presented based on Kalman filter for NLOS situation.Kalman filter which is widely used in radar system and aircraft navigation is applied to indoor positioning.According to experiments,this method turns out to be an applicable technology for in-building WALN positioning determination and the positioning estimation can be obtained with good accuracy even in severe NLOS propagation conditions.