基于粒子群的射频识别定位算法

PSO-based RFID positioning algorithm

针对传统室内定位方法定位精度低、开销大等问题,提出一种基于粒子群的射频识别定位算法。首先采用高斯滤波对读取到的信号强度指示RSSI进行预处理,以减少环境因素对信号的干扰,使RSSI值与标签实际位置相符。其次,以网格排列的参考标签作为辅助,通过引入粒子群优化算法,经多次迭代找出最优值,计算出待定位标签的估计坐标,提高定位精度。最后,采用拉格朗日插值法计算虚拟标签的信号强度指示值,使其更接近于真实标签的值。实验表明,该算法可有效提高定位精度和效率,并减少开销。

In order to solve low positioning accuracy and high cost in traditional positioning methods, the PSO-based RFID positioning approach is proposed. Firstly, aiming at the interference of environmen- tal factors on the signals, Gaussian Smoothing Filter is adopted to preprocess RSSI （Received Signal Strength Indicator） values. Secondly, based on grid-style reference tags,PSO algorithm is introduced to estimate the optimal positions of tracking tags by several iterations, thus improving the positioning racy. Finally,the RSSI values of virtual reference tags are ca ues of real tags. Experimental results lculated by Lagrange demonstrate that the excellent accuracy,high efficiency and low cost in indoor positioning. interpolation, so proposed approac accuas to h has