CAJ | 학술논문

为了降低无源定位中观测站站址误差对定位精度产生的不良影响，论文提出了一种基于多维尺度分析的多站无源时差定位解析算法。算法建立了存在站址误差时关于目标位置的线性方程组，推导了方程误差与时差测量误差和站址误差之间的关系式，将误差的统计特性融入到新的加权矩阵之中，使用加权最小二乘方法对目标位置进行了求解。仿真实验表明，算法对于小测量误差具有无偏性，其定位精度能够达到克拉美罗下界，相对于HoKC的解析算法具有更好的稳健性。
위료강저무원정위중관측참참지오차대정위정도산생적불량영향，논문제출료일충기우다유척도분석적다참무원시차정위해석산법。산법건립료존재참지오차시관우목표위치적선성방정조，추도료방정오차여시차측량오차화참지오차지간적관계식，장오차적통계특성융입도신적가권구진지중，사용가권최소이승방법대목표위치진행료구해。방진실험표명，산법대우소측량오차구유무편성，기정위정도능구체도극랍미라하계，상대우HoKC적해석산법구유경호적은건성。
Receiver position error is known to degrade the passive source localization accuracy significantly.To deal with this problem,a new time difference of arrival based closed-form algorithm using multiple receivers with position errors is in-troduced,which exploits the multidimensional scaling (MDS)analysis.The linear equations related to the target position are constructed.The relation between the equation errors and the TDOA as well as the receiver position measurement errors is deduced.The weighted LS method is used to solve the target position,in which the weighting matrix includes the statisti-cal character of the measurement errors.Simulation demonstrates that the proposed method has unbiasedness for small measurement errors.It can also achieves an accuracy close to the Cramer-Rao low bound and is more robust to larger errors than the method by Ho K C.