基于系统识别的RSSI定位算法

针对无线传感器网络节点定位问题,分析了基于接收信号强度(RSSI)的定位算法,对无线电传播路径损耗理论模型进行了分析.采用系统辨识加权最小二乘法在线修正了信号衰减理论模型,使算法具有了普遍适用性.提出三边定位法与质心法结合的定位算法和极大似然估计法得到未知节点的估计位置.仿真结果表明,该算法减少了测距误差,随着节点的增加定位精度提高.

The RSSI-Based Localization Algorithm in WSNs

Self-localization of blind node is one of the key technologies for application of Wireless Sensor Network (WSN). The algorithm is based on the Received Signal Strength Indicator (RSSI) model. In this paper, we apply the Weighted Least Square method (WLS) to analyze the model of waves propagation and to amend the parameters of the model on line, so the algorithm can be applicable in the specific environmental. And we apply the Trilateration-Centroid algorithm and the Maximum Likehood Estimation (MLE) to estimate the position of the blind node. In final, we show by simulations that this algorithm can get low ranging error and high localization accuracy.