CAJ | 학술논문

减小非视距（Non Line Of Sight，NLOS）误差定位算法大多要求在移动台和基站之间至少存在一条视距（Line Of Sight，LOS）路径。提出一种新的NLOS环境中基于散射模型分类传播环境的TOA（Time Of Arrival）定位方法，将散射模型中NLOS传播的统计特性加入到定位算法中，使用散射模型研究了3种定位算法，方差匹配算法，期望最大算法和贝叶斯算法。并对算法进行仿真，仿真结果表明，本算法性能优于传统定位算法。
감소비시거（Non Line Of Sight，NLOS）오차정위산법대다요구재이동태화기참지간지소존재일조시거（Line Of Sight，LOS）로경。제출일충신적NLOS배경중기우산사모형분류전파배경적TOA（Time Of Arrival）정위방법，장산사모형중NLOS전파적통계특성가입도정위산법중，사용산사모형연구료3충정위산법，방차필배산법，기망최대산법화패협사산법。병대산법진행방진，방진결과표명，본산법성능우우전통정위산법。
Most of the algorithms mitigating NLOS(Non Line of Sight)error require there is a LOS (Line of Sight)path between mobile station and base stations at least.The paper proposes a new TOA location methodology based on scattering models to classify propagation environments. The statistics of NLOS of scattering models is incorporated into location algorithm. By using scattering model,three novel location algorithms are researched,such as variance matching algorithm,the expectation algorithm and bayesian algorithm.The results of simulation show the proposed algorithms provide improvement over traditional location algorithms.