The node localization is one of the key technologies in most applications of Wireless Sensor Networks ( WSNs),moreover the error of distance measurements to some extent affected the nodes localization's precision. Aiming at the influence of RF signal by various disturbances, which led to ranging imprecise, this paper provided an improved limiting the average filtering method(ILAFM) .calibrated range measurement between nodes and optimization of beacon node in sensor network, then localized nodes by using Weighted Least Square Estimates (WLSE). Experiments and simulations show that this algorithm improves the accuracy estimates of distance and yields better performance than the traditional RSSI trilateral algorithm in the same conditions.%在许多无线传感器网络的应用中，节点定位是其关键技术之一，而定位精度的高低在很大程度上取决于距离测量的精度。针对射频信号受各种干扰影响而出现测距不精确的问题，该文对能量检测采用改进的限幅平均滤波方法，校正测量的节点间点到点的距离,并优选信标节点，最后用加权最小二乘法进行定位。实验及仿真结果表明，本定位算法可以提高测距精度，优于传统的RSSI三边定位算法。
展开▼
