为解决多基站定位模型中基站之间同步代价高的问题,提出了一种基于多根长馈线天线基站的到达时间差(Time Difference of Arrival,TDOA)定位模型,给出了模型方程和求解方法,该方法将复杂的3对距离差方程组转化为1个一元八次方程,然后采用...为解决多基站定位模型中基站之间同步代价高的问题,提出了一种基于多根长馈线天线基站的到达时间差(Time Difference of Arrival,TDOA)定位模型,给出了模型方程和求解方法,该方法将复杂的3对距离差方程组转化为1个一元八次方程,然后采用Aberth-Newton迭代法来迭代求解方程。通过计算机仿真验证了基于多根长馈线天线基站的TDOA定位模型和解法的有效性,并对该模型的多解问题进行了分析,用优化基站布局的方案,解决了定位模型的唯一解问题。本定位模型在覆盖范围数百米时,定位精度可达分米级。展开更多
为实现前沿阵地和地面防空两种典型应用约束条件下到达时间差(Time Difference of Arrival,TDOA)定位的自动布站优化,分析了这两种典型约束条件下的基站长度、站点间角度等对定位精度的影响。提出了基于自适应差分进化(Differential Evo...为实现前沿阵地和地面防空两种典型应用约束条件下到达时间差(Time Difference of Arrival,TDOA)定位的自动布站优化,分析了这两种典型约束条件下的基站长度、站点间角度等对定位精度的影响。提出了基于自适应差分进化(Differential Evolution,DE)算法的TDOA自动布站优化策略。采用该算法对这两种约束条件下的自动布站优化进行了仿真分析,并对自适应DE算法计算复杂度进行了分析。结果表明,自适应DE算法的自动布站复杂度低,收敛快速,与定位误差分析一致,具有较好的全局寻优能力。展开更多
本文设计了一种基于无线信号时域特征值抽取的无源TDOA(Time Difference of Arrival,到达时间差)实时定位系统,采用多台无线信号接收装备(数量≥3),在可靠通讯链路和高精度时钟同步机制的保障下,可按需设定时间间隔及采样率对无线信号...本文设计了一种基于无线信号时域特征值抽取的无源TDOA(Time Difference of Arrival,到达时间差)实时定位系统,采用多台无线信号接收装备(数量≥3),在可靠通讯链路和高精度时钟同步机制的保障下,可按需设定时间间隔及采样率对无线信号进行时域采样、特征值抽取。基于目标信号质量最佳的原则,本文选取3台无线信号接收装备的采样数据进行滤波降采处理、特征值互相关计算,得到目标信号到达任意两台设备间的时差,并对时差进行误差判定以提升计算效率。最后,建立通用TDOA数学模型并基于Chan算法计算目标信号位置信息,实现每秒多次位置实时更新。展开更多
The radar radiation source signals hold extremely high reconnaissance value.Accurately positioning these signals constitutes one of the key technologies in safeguarding the security of the electromagnetic space.The po...The radar radiation source signals hold extremely high reconnaissance value.Accurately positioning these signals constitutes one of the key technologies in safeguarding the security of the electromagnetic space.The positioning error in multi-station scenarios is influenced not only by the accuracy of positioning parameter estimation but also by the geometric configuration of the positioning platform.This paper focuses on the direction of arrival(DOA),frequency difference of arrival(FDOA),and time difference of arrival(TDOA)methods,analyzing the optimal configuration,optimal detection area,and optimal position dilution of precision in both elevation-known and elevation-unknown scenarios.Specifically,the paper constructs a signal receiving model,establishes the corresponding positioning equations,and performs dimensional normalization on these equations to derive measurement values in meters.Through differential processing,the position dilution of precision is obtained,which is then used as the optimization function to determine the optimal configuration,optimal detection area,and optimal position dilution of precision.Simulation results validate the accuracy of the proposed formulas.展开更多
文摘为解决多基站定位模型中基站之间同步代价高的问题,提出了一种基于多根长馈线天线基站的到达时间差(Time Difference of Arrival,TDOA)定位模型,给出了模型方程和求解方法,该方法将复杂的3对距离差方程组转化为1个一元八次方程,然后采用Aberth-Newton迭代法来迭代求解方程。通过计算机仿真验证了基于多根长馈线天线基站的TDOA定位模型和解法的有效性,并对该模型的多解问题进行了分析,用优化基站布局的方案,解决了定位模型的唯一解问题。本定位模型在覆盖范围数百米时,定位精度可达分米级。
文摘为实现前沿阵地和地面防空两种典型应用约束条件下到达时间差(Time Difference of Arrival,TDOA)定位的自动布站优化,分析了这两种典型约束条件下的基站长度、站点间角度等对定位精度的影响。提出了基于自适应差分进化(Differential Evolution,DE)算法的TDOA自动布站优化策略。采用该算法对这两种约束条件下的自动布站优化进行了仿真分析,并对自适应DE算法计算复杂度进行了分析。结果表明,自适应DE算法的自动布站复杂度低,收敛快速,与定位误差分析一致,具有较好的全局寻优能力。
文摘本文设计了一种基于无线信号时域特征值抽取的无源TDOA(Time Difference of Arrival,到达时间差)实时定位系统,采用多台无线信号接收装备(数量≥3),在可靠通讯链路和高精度时钟同步机制的保障下,可按需设定时间间隔及采样率对无线信号进行时域采样、特征值抽取。基于目标信号质量最佳的原则,本文选取3台无线信号接收装备的采样数据进行滤波降采处理、特征值互相关计算,得到目标信号到达任意两台设备间的时差,并对时差进行误差判定以提升计算效率。最后,建立通用TDOA数学模型并基于Chan算法计算目标信号位置信息,实现每秒多次位置实时更新。
基金supported by the National Natural Science Foundation of China(Nos.62027801,62301035).
文摘The radar radiation source signals hold extremely high reconnaissance value.Accurately positioning these signals constitutes one of the key technologies in safeguarding the security of the electromagnetic space.The positioning error in multi-station scenarios is influenced not only by the accuracy of positioning parameter estimation but also by the geometric configuration of the positioning platform.This paper focuses on the direction of arrival(DOA),frequency difference of arrival(FDOA),and time difference of arrival(TDOA)methods,analyzing the optimal configuration,optimal detection area,and optimal position dilution of precision in both elevation-known and elevation-unknown scenarios.Specifically,the paper constructs a signal receiving model,establishes the corresponding positioning equations,and performs dimensional normalization on these equations to derive measurement values in meters.Through differential processing,the position dilution of precision is obtained,which is then used as the optimization function to determine the optimal configuration,optimal detection area,and optimal position dilution of precision.Simulation results validate the accuracy of the proposed formulas.
文摘基于TDOA的超声波测距模型认为距离为声波的速度与时间差之积,忽略了温度等因素对速度的影响,此外,系统计时的误差影响了时间差测量,导致测距精度不高.分析了基于TDOA原理的超声波测距系统误差的主要来源,建立模型,通过实验对温度、距离衰减及时间差测量进行补偿,利用超声波反射特性对障碍物进行测距,并利用多探头在一定程度上削弱了方向性带来的影响.实验结果表明:系统性能稳定,测距精度高,环境适应性更强.在超声波测距范围内,最大误差不超过4 cm.
