【摘要】 为了减少非视距对定位估计的影响,提出了一种新到达时间/到达角信号的抗非视距混合定位方法,该方法假设首先到达每个基站的信号路径经历了唯一的一次反射,采用约束非线性优化方法来定位移动台,将基站和移动台的几何分布关系和移动台的位置范围作为约束条件,并使用粒子群优化技术来寻找全局最优解,然后计算测量噪声并利用迭代过程进一步的提高定位精度,通过对比仿真表明该算法的有效性。更多还原

【Abstract】 In order to minimize the location estimation error to mitigate the NLOS propagation effect, a novel time of arriva1/angle of arriva1 wireless position scheme in NLOS environment is proposed.Which assumes that the first arriving path at each base station experiences a single dominant scatter, location of the mobile station is accomplished by means of a nonlinear optimization procedure under nonlinear constraints, the geometry of the cell layout and the measured range circles to serve as constraints. The particle swarm optimization technique is then employed to search the global minimum of the cost function, estimate measurement noise and use the iterative process to further improve position accuracy. Simulation results, comparing with other existing schemes in mobile location estimation, show the effectiveness of location accuracy improving.更多还原