无线定位是无线传感器网络的一个重要应用,但目前仍然存在着定位精度不高、定位性能差的问题。通过针对TDOA(Time Difference of Arrival)/AOA(Angle of Arrival)混合式方法定位的超宽带(Ultra-Wideband)无线传感器定位系统,提出利用迭代去噪和卡尔曼滤波器的混合式处理方法。在数据处理层面上改善系统的定位性能,从而提高定位可靠性。现场试验的数据表明该方法确实可以改善系统的定位效果。
Wireless Localization is an important application in wireless sensor networks (WSNs). But poor localization accuracy and per- formance are still there. This paper describes the research on an UWB (Uhra-Wideband) localization system which uses hybrid TDOA/AOA methods. It analyses localization accuracy degree of the system and meliorates its performance of localization by combining iterative refining and Kalman filter during data-processing period. This approach increases the reliability of the system in localization. The data collected from on-site experiment shows that it works.