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基于RSSI(Received Signal Strength Indication)的距离测量技术是一种新型低成本的距离测量技术,并且在距离定位的领域中得到广泛的运用。针对常规的Zigbee指纹定位的加权最邻近定位算法较为复杂且精度低下的问题,该文对基于RSSI的Zigbee指纹数据库定位算法中加权最邻近算法进行了研究,提出了利用一种新的加权距离定位算法,并且使用Zigbee无线网络系统进行实验。结果表明,使用加权定位算法后,与常规的3种定位算法相比,Zigbee定位系统的定位偏差得到一定程度的提高且优于1.57m。
Distance measurement technology based on RSSI (Received Signal Strength Indication) is a new low-cost distance measurement technology, and is widely used in the field of distance positioning. In order to solve the problem that the weighted nearest neighbor algorithm of Zigbee fingerprinting is more complex and less accurate, this paper studies the weighted nearest neighbor algorithm in Zigbee fingerprint database based on RSSI, and proposes a new weighted distance location Algorithm, and experiment with the Zigbee wireless network system. The results show that compared with the conventional three kinds of localization algorithms, the positioning deviation of Zigbee positioning system is improved to a certain extent and is better than 1.57m after the weighted location algorithm is used.