探测与控制学报
探測與控製學報
탐측여공제학보
Journal of Detection & Control
2015年
4期
72-76
,共5页
粒子滤波%无迹卡尔曼滤波%3GPP 长期演进%非合作定位%目标跟踪定位%侦测站
粒子濾波%無跡卡爾曼濾波%3GPP 長期縯進%非閤作定位%目標跟蹤定位%偵測站
입자려파%무적잡이만려파%3GPP 장기연진%비합작정위%목표근종정위%정측참
particle filter%unscented Kalman filter%long term evolution%non-cooperative location%target tracking%moni-toring station
针对卡尔曼滤波对3GPP 长期演进(LTE,long term evolution)终端非合作跟踪定位精度较差的问题,提出了基于非合作定位模型的改进型粒子滤波算法。该算法以侦测站从空口截获的含有噪声的波达时延差(TDOA)和波达时延和(TSOA)信息为基础,建立目标跟踪定位模型,通过改进型粒子滤波(PF,particle filter)算法实现对目标终端的位置和速度的跟踪获取。仿真实验表明,该算法可以有效实现对目标的跟踪,较无迹卡尔曼滤波(UKF,unscented kal-man filter)算法有更好的准确性。
針對卡爾曼濾波對3GPP 長期縯進(LTE,long term evolution)終耑非閤作跟蹤定位精度較差的問題,提齣瞭基于非閤作定位模型的改進型粒子濾波算法。該算法以偵測站從空口截穫的含有譟聲的波達時延差(TDOA)和波達時延和(TSOA)信息為基礎,建立目標跟蹤定位模型,通過改進型粒子濾波(PF,particle filter)算法實現對目標終耑的位置和速度的跟蹤穫取。倣真實驗錶明,該算法可以有效實現對目標的跟蹤,較無跡卡爾曼濾波(UKF,unscented kal-man filter)算法有更好的準確性。
침대잡이만려파대3GPP 장기연진(LTE,long term evolution)종단비합작근종정위정도교차적문제,제출료기우비합작정위모형적개진형입자려파산법。해산법이정측참종공구절획적함유조성적파체시연차(TDOA)화파체시연화(TSOA)신식위기출,건립목표근종정위모형,통과개진형입자려파(PF,particle filter)산법실현대목표종단적위치화속도적근종획취。방진실험표명,해산법가이유효실현대목표적근종,교무적잡이만려파(UKF,unscented kal-man filter)산법유경호적준학성。
In order to solve the poor accuracy problem of non-cooperative target tracking by the algorithm of Kalman filter in LTE,this paper offered the model of non-cooperative target tracking.This algorithm built a target tracking model which based on the TDOA and TSOA information.These information were intercepted by monitoring station from the spatial interface.the target tracking by a advanced particle filter was realized.Numerical simulations showed that the algo-rithm could realize the target tracking and had a better veracity than UKF.
