结合卡尔曼滤波的改进二次相关移动定位法  

Improved Quadratic-related Mobile Positioning Method Combined with Kalman

作　　者：刘梦然 彭阳 屈善帮 胡君豪 聂磊[1] 邵星宇 LIU Mengran;PENG Yang;QU Shanbang;HU Junhao;NIE Lei;SHAO Xingyu(Hubei Key Laboratory of Manufacture Quality Engineering,Hubei University of Technology,Wuhan 430068,China)

机构地区：[1]湖北工业大学湖北省现代制造质量工程重点实验室,武汉430068

出　　处：《火力与指挥控制》2022年第10期140-144,共5页Fire Control & Command Control

基　　金：国家自然科学基金(51805154,51975191);国家级大学生创新创业训练计划(202010500011);湖北工业大学启动基金(GCRC2020010);湖北工业大学绿色工业科技引领计划基金资助项目(XJ2021004901)。

摘　　要：为提高低信噪比环境下移动目标定位精度,提出一种高精度移动目标定位方法。通过改进的二次相关时延算法获得时延估计,进而求得目标的移动轨迹;利用扩展卡尔曼滤波对目标的移动轨迹进行处理,消除噪声影响,使获得轨迹更接近真实轨迹。在80 m×160 m的空间中对移动目标仿真定位,其结果表明该方法对比广义相关定位法,在信噪比为5 dB时,平均定位误差减小1.83 m,尤其在信噪比为-10 dB时,该方法优势更明显,平均定位误差减少了5.49 m。In order to improve the positioning accuracy of mobile targets in low SNR environments,proposes a high-precision mobile target positioning method is proposed.Firstly,the method can obtain the time delay estimation by an improved quadratic-related time delay algorithm,and then the moving trajectory of the target can be obtained;secondly,the moving trajectory of the target is processed by using the extended Kalman filter to eliminate the noise effect,so that the obtained trajectory is closer to the real one.The mobile targets are simulated and located in the space of 80 m×160 m,the results show that the average positioning error of this method is reduced by 1.83 m when the signal-to-noise ratio is5 dB,especially when the signal-to-noise ratio is-10 dB,and the average positioning error is reduced by 5.49 m compared with that of general related positioning method.The advantage of the proposed method in the paper is more obvious.

关 键 词：移动定位 广义二次相关 扩展卡尔曼滤波 时延估计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]