摘要
在基于到达时间差（TDOA）测量的定位系统存在测量自由度的情况下，结合实际，采用平差法减小测量误差，从理论上证明了平差处理后能使定位精度达到更低的克莱姆．劳下界（CRLB）。提出了基于区域预判的Taylor级数（R—TS）算法，利用正负先验知识选择初始点，简单有效地解决了初始点的选取问题，提高了迭代效率。实验结果显示，采用平差法和R-TS算法能同时提高定位精度和计算效率。
Under the circumstances that the measurement degrees of freedom exist in a positioning system based on measuring the time difference of arrival （ TDOA）, the paper uses the adjustment method to reduce measurement errors in practice, and theoretically proves that the positioning accuracy of the system can reach a lower Cramer-Rao Lower Bound （CRLB） after adjustment. And then, the region-prediction based Taylor series （R-TS） algorithm is proposed to choose the initial point and solve the problem of the selection of start point simply and efficiently by using a priori knowledge of TDOA sign, with the final aim of reducing the number of iterations. The experimental results show that the positioning accuracy and the computational efficiency can also be improved by using adjustment method and the R-TS algorithm.
出处
《高技术通讯》
CAS
CSCD
北大核心
2012年第1期8-13,共6页
Chinese High Technology Letters
基金
江苏省产学研联合创新资金计划（BY2009149863）资助项目.
