In this paper,an effective target locating approach based on the fingerprint fusion posi-tioning(FFP)method is proposed which integrates the time-difference of arrival(TDOA)and the received signal strength according t...In this paper,an effective target locating approach based on the fingerprint fusion posi-tioning(FFP)method is proposed which integrates the time-difference of arrival(TDOA)and the received signal strength according to the statistical variance of target position in the stationary 3D scenarios.The FFP method fuses the pedestrian dead reckoning(PDR)estimation to solve the moving target localization problem.We also introduce auxiliary parameters to estimate the target motion state.Subsequently,we can locate the static pedestrians and track the the moving target.For the case study,eight access stationary points are placed on a bookshelf and hypermarket;one target node is moving inside hypermarkets in 2D and 3D scenarios or stationary on the bookshelf.We compare the performance of our proposed method with existing localization algorithms such as k-nearest neighbor,weighted k-nearest neighbor,pure TDOA and fingerprinting combining Bayesian frameworks including the extended Kalman filter,unscented Kalman filter and particle fil-ter(PF).The proposed approach outperforms obviously the counterpart methodologies in terms of the root mean square error and the cumulative distribution function of localization errors,espe-cially in the 3D scenarios.Simulation results corroborate the effectiveness of our proposed approach.展开更多
许多无线定位应用通过旋转方向天线推测无线信号的到达角度(angle of arrival,AOA),但该类方法在稀疏抽样和复杂环境中定位精度不高。方向天线波瓣曲线的还原实验表明,最大接收信号强度(received signal strength,RSS)附近的波瓣曲线与...许多无线定位应用通过旋转方向天线推测无线信号的到达角度(angle of arrival,AOA),但该类方法在稀疏抽样和复杂环境中定位精度不高。方向天线波瓣曲线的还原实验表明,最大接收信号强度(received signal strength,RSS)附近的波瓣曲线与二次曲线近似。根据这一事实,提出了一种基于RSS二次曲线拟合的AOA定位算法。该算法利用最大RSS附近的数据拟合出二次曲线方程,通过曲线方程的最值点估测AOA。实验结果表明,该算法能够在稀疏抽样和复杂环境中保持良好的定位精度;真实环境实验的平均角度和定位误差分别为2.5°和0.28 m;相比RAL定位算法,其角度和定位精度均提高了70%。展开更多
为了减少非视距(Non-light of sight,NLOS)误差对基于到达时间(Time of arrival,TOA)的无线定位系统性能的影响,本文提出一种采用接收信号强度(Received signal strength,RSS)与TOA测量值相结合的方法对含有NLOS误差的TOA测量值进行检...为了减少非视距(Non-light of sight,NLOS)误差对基于到达时间(Time of arrival,TOA)的无线定位系统性能的影响,本文提出一种采用接收信号强度(Received signal strength,RSS)与TOA测量值相结合的方法对含有NLOS误差的TOA测量值进行检测并修正。在视距(Light of sight,LOS)传播的TOA与RSS之间关系已知的前提下,利用定位基站得到的TOA与RSS测量值,计算TOA测量值中含有NLOS误差的可能性,并对TOA测量值进行修正。该方法在不增加通信次数的情况下,大大提高了定位精度。最后在一个无线定位系统上实现了该算法,并进行了对比实验。实验结果表明,该算法不需对多次定位结果进行统计,即可有效降低NLOS误差对系统性能的影响,适用于对功耗要求苛刻的场合。展开更多
基金partially supported by the National Natural Science Foun-dation of China(No.62071389).
文摘In this paper,an effective target locating approach based on the fingerprint fusion posi-tioning(FFP)method is proposed which integrates the time-difference of arrival(TDOA)and the received signal strength according to the statistical variance of target position in the stationary 3D scenarios.The FFP method fuses the pedestrian dead reckoning(PDR)estimation to solve the moving target localization problem.We also introduce auxiliary parameters to estimate the target motion state.Subsequently,we can locate the static pedestrians and track the the moving target.For the case study,eight access stationary points are placed on a bookshelf and hypermarket;one target node is moving inside hypermarkets in 2D and 3D scenarios or stationary on the bookshelf.We compare the performance of our proposed method with existing localization algorithms such as k-nearest neighbor,weighted k-nearest neighbor,pure TDOA and fingerprinting combining Bayesian frameworks including the extended Kalman filter,unscented Kalman filter and particle fil-ter(PF).The proposed approach outperforms obviously the counterpart methodologies in terms of the root mean square error and the cumulative distribution function of localization errors,espe-cially in the 3D scenarios.Simulation results corroborate the effectiveness of our proposed approach.
文摘许多无线定位应用通过旋转方向天线推测无线信号的到达角度(angle of arrival,AOA),但该类方法在稀疏抽样和复杂环境中定位精度不高。方向天线波瓣曲线的还原实验表明,最大接收信号强度(received signal strength,RSS)附近的波瓣曲线与二次曲线近似。根据这一事实,提出了一种基于RSS二次曲线拟合的AOA定位算法。该算法利用最大RSS附近的数据拟合出二次曲线方程,通过曲线方程的最值点估测AOA。实验结果表明,该算法能够在稀疏抽样和复杂环境中保持良好的定位精度;真实环境实验的平均角度和定位误差分别为2.5°和0.28 m;相比RAL定位算法,其角度和定位精度均提高了70%。
文摘为了减少非视距(Non-light of sight,NLOS)误差对基于到达时间(Time of arrival,TOA)的无线定位系统性能的影响,本文提出一种采用接收信号强度(Received signal strength,RSS)与TOA测量值相结合的方法对含有NLOS误差的TOA测量值进行检测并修正。在视距(Light of sight,LOS)传播的TOA与RSS之间关系已知的前提下,利用定位基站得到的TOA与RSS测量值,计算TOA测量值中含有NLOS误差的可能性,并对TOA测量值进行修正。该方法在不增加通信次数的情况下,大大提高了定位精度。最后在一个无线定位系统上实现了该算法,并进行了对比实验。实验结果表明,该算法不需对多次定位结果进行统计,即可有效降低NLOS误差对系统性能的影响,适用于对功耗要求苛刻的场合。
