无源传感器误差动态校正算法研究  

The Research on Dynamical Correction Algorithm for Passive Sensor’s Location Error

作　　者：陈林[1] 王玉珠 冯燕来[1] 关升 Chen Lin;Wang Yuzhu;Feng Yanlai;Guan Sheng(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)

机构地区：[1]中国电子科技集团公司第28研究所

出　　处：《信息化研究》2019年第3期17-21,共5页INFORMATIZATION RESEARCH

摘　　要：文章针对实时校正无源传感器在目标交叉定位时产生的测量误差,提出一种基于多次观测信息融合的误差动态校正算法。该方法首先通过引入标校源,利用线性回归方法计算系统误差的补偿因子,然后运用卡尔曼滤波算法对补偿后的定位结果进行滤波处理,以减小随机误差。仿真实验表明该动态误差校正算法能够实时地校正传感器的测量误差,提高目标定位精度。In order to correct the measurement error caused by passive senor during cross locating period, a dynamical error correction algorithm based on multi-observation information fusion is proposed. The algorithm introduces a standard comparison source firstly to calculate the compensation factor of system error with linear regression, and then conduct Kalman filter for the compensated result to reduce the random error. The simulation results show that it corrects the measurement error and improves the location accuracy in real time.

关 键 词：误差校正 线性回归 卡尔曼滤波 

分 类 号：TP212.6[自动化与计算机技术—检测技术与自动化装置]