基于RSSI修正的相似度推荐定位算法

Similarity recommended localization algorithm based on RSSI amended

针对RSSI测距容易受到环境干扰,提出一种基于RSSI修正的相似度推荐定位算法.该算法对RSSI测距数据进行残差修正,以减小RSSI误差对定位精度的影响,并利用样本点与未知定位区域的相似度来确定未知节点的坐标,降低了计算复杂度.仿真结果表明算法有效可行,可较好地改善节点定位精度.

Against the fact of being vulnerable to various interference for RSSI ranging, a similarity recommended localization algorithm based on RSSI amended was presented. In order to reduce the influence of localization precision from RSSI error, the RSSI ranging data was amended as residual,and use the similarity between the sample points and unknown location area was used to estimate the coordinates of unknown nodes and avoid the high computing complexity. The results of the simulation show that the algorithm is feasible and makes the localization precision more accurate.