基于球面坐标的目标定位位置的封闭解算法

针对无线传感网络WSNs(Wireless Sensor Networks)的三维目标定位问题,提出基于接收信号强度RSS(Received Signal Strength)和到达角度AoA(Angle of Arrival)混合目标定位RATL(RSS and AoA-based Target Localization algorithm)算法.RATL算法融合了RSS和AoA观察值.通过将笛卡尔坐标转换球面坐标,并充分利用AoA测量值的优势,RATL算法建立测量值与未知目标位置间的关系,进而获取简单、封闭解.相比于现在算法,RATL算法并不要求更多松驰.实验数据表明,RATL算法比同类算法的复杂度低、定位精度高.

A Closed-Form for Spherical coordinates -based Target Localization algorithm in Wireless Sensor Networks

This paper addresses the problem of target localization in a 3-D space in Wireless Sensor Networks ( WSNs) . We propose a novel target localization algorithm for 3-D space that merges RSS and AoA observations, which is marked as RATL. By shifting from Cartesian to spherical coordinates and taking advantage of the acquired AoA measurements,we build new relationships between the measurements and the unknown target location,which results in a simple and closed-form solution. In contrast to the existing methods,the proposed one does not require further relaxations( which enlarge the set of possible solutions) . The new method is computationally light and our numerical results show that it provides excellent accuracy,surpassing the state-of-the-art methods in general.