CAJ | 학술논문

为了提高传统的TOA/AOA定位技术在非视距环境下的定位精度,提出了一种基于散射体信息的混合定位方法.首先,利用基站坐标信息和TOA测量值确定线性化的可行区域,产生移动台的候选位置点.对每一个移动台候选点,结合TOA和AOA测量值,计算各自散射体半径,通过与先验的散射体信息的比较,筛选候选移动台位置点.然后,运用自适应模糊聚类算法估计移动台位置,完成定位.最后,对所提出的定位算法进行了仿真验证.仿真结果表明:所提出的基于散射体信息的混合TOA/AOA定位算法能够减轻非视距效应,有效估计移动台位置.
위료제고전통적TOA/AOA정위기술재비시거배경하적정위정도,제출료일충기우산사체신식적혼합정위방법.수선,이용기참좌표신식화TOA측량치학정선성화적가행구역,산생이동태적후선위치점.대매일개이동태후선점,결합TOA화AOA측량치,계산각자산사체반경,통과여선험적산사체신식적비교,사선후선이동태위치점.연후,운용자괄응모호취류산법고계이동태위치,완성정위.최후,대소제출적정위산법진행료방진험증.방진결과표명:소제출적기우산사체신식적혼합TOA/AOA정위산법능구감경비시거효응,유효고계이동태위치.
In order to improve the performance of the traditional hybrid time-of-arrival (TOA)/angle-of-arrival (AOA) location algorithm in non-line-of-sight (NLOS) environments, a new hybrid TOA/AOA location estimation algorithm by utilizing scatterer inlormation is proposed. The linearized region of the mobile station (MS) is obtained according to the base station (BS) coordinates and the TOA measurements. The candidate points (CPs) of the MS are generated from this region. Then,using the measured TOA and AOA measurements, the radius of each scatterer is computed. Compared with the prior scatterer information, true CPs are obtained among all the CPs. The adaptive fuzzy clustering (AFC) technology is adopted to estimate the position of the MS with true CPs. Finally,simulations are conducted to evaluate the performance of the algorithm. The results demonstrate that the proposed location algorithm can significantly mitigate the NLOS effect and efficiently estimate the MS position.