CAJ | 학술논문

结合Chan算法、Taylor算法及Kalman算法三种TDOA算法的优点，提出一种能应用于室内实时定位的协同方法。首先基于Chan与Taylor的协同定位方法估算位置信息，并通过对估计结果的残差设置阈值来鉴别NLOS，从而抛弃受到NLOS污染严重的测量数据。其次，再对符合条件的测量数据，利用Kalman方法计算定位结果，与Taylor方法的定位结果通过设置判别条件进行比较，以此进一步抑制NLOS干扰。对符合判别条件的定位结果，进行残差加权及移动平均加权处理，从而完成最终定位结果的更新。最后，利用室内实时定位实验，证明该方法能有效过滤受到NLOS污染严重的测距数据，提高定位精度，并且具有良好的稳定性。
결합Chan산법、Taylor산법급Kalman산법삼충TDOA산법적우점，제출일충능응용우실내실시정위적협동방법。수선기우Chan여Taylor적협동정위방법고산위치신식，병통과대고계결과적잔차설치역치래감별NLOS，종이포기수도NLOS오염엄중적측량수거。기차，재대부합조건적측량수거，이용Kalman방법계산정위결과，여Taylor방법적정위결과통과설치판별조건진행비교，이차진일보억제NLOS간우。대부합판별조건적정위결과，진행잔차가권급이동평균가권처리，종이완성최종정위결과적경신。최후，이용실내실시정위실험，증명해방법능유효과려수도NLOS오염엄중적측거수거，제고정위정도，병차구유량호적은정성。
A cooperative method for indoor real-time localization based on three TDOA algorithms is presented. These algorithms are Chan algorithm, Taylor serials expansion algorithm, and Extended Kalman filter algorithm. Firstly,estimation result is calculated by a cooperative method based on Chan and Taylor and threshold value of its residuals is set to identity NLOS and discard the ranging data that is disturbed severely by NLOS. Then,Kalman method is used for the matching data to get estimation position. The location result of Kalman is compared with the result of Taylor through setting some condition to further restrain NLOS error. Next,the final estimation result is ob-tained,by using residual weighting algorithm and moving weighted average method to the meet results. Finally,the experimental results show that this method can restrain NLOS error efficiently and improve the precision of location.