摘要
地铁CBTC数据通信子系统受到工作在相同频段2.4GHz相关设备的干扰越来越严重。为了对干扰源实施有效识别和监控,CBTC系统干扰源的定位技术成了亟待研究的问题。提出一种基于梯度下降和Taylor级数展开的RSSI测距定位算法,该算法结合梯度下降和Taylor级数展开算法的优点,克服了传统几何定位算法和直接降阶算法因列车短距离内轨迹成直线而不能求解的缺点。仿真结果表明,该算法可以精确地定位出干扰源。并且与梯度下降算法相比,该算法提高了定位的效率;同时,与Taylor级数展开算法相比,该算法因性能不依赖于初始位置的选择而具有更强的鲁棒性。
The subway CBTC data communication system is interfered increasingly severe by devices of operating on the2.4 GHz unlicensed band.It is urgent to research a subway CBTC system interference signal source positioning technology for identifying and monitoring them effectively.A novel RSSI ranging positioning algorithm based on gradient descent and Taylor series expansion is proposed in this paper.The algorithm combines the advantages of gradient descent and Taylor series expansion algorithms.It overcomes the defects of traditional geometric positioning algorithms and conventional direct reduction methods which are rendered inapplicable owing to the trajectory of train approximates a straight line within a short distance.Simulation results show that the algorithm can position the interference source with high accuracy.By comparing with gradient descent algorithm,the new algorithm has higher computation efficiency.At the same time,its performance does not depend on the selection of initial position,it has stronger robustness than Taylor series expansion algorithm.
作者
彭章友
张江平
夏海琴
Peng Zhangyou;Zhang Jiangping;Xia Haiqin(Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai University,Shanghai 200072,China)
出处
《电子测量技术》
2018年第15期20-24,共5页
Electronic Measurement Technology
