一种基于ESSI的混合滤波算法

摘要

针对基于信号回波强度(ESSI)的无线传感器测距问题,ESSI值存在波动、突变等特点,导致测距结果误差较大.提出了一种基于递推均值滤波,中位值滤波以及高斯滤波的混合滤波算法,在过滤异常ESSI值的基础上,减小数值的波动,对ESSI值进行优化.通过仿真实验证明,混合滤波算法可以有效过滤异常ESSI值,进一步缩小误差,同时实现ESSI数据更为精确的输出.%Wireless sensor based on the received signal strength indication (ESSI) ranging problem,the ESSI data exist fluc-tuation and mutation,etc.A hybrid filter algorithm is put forward based on mean filter,median filter and Gaussian filter,by using this algorithm ESSI data is optimized.The experiments proveds that the hybrid algorithm effectively remove the mutation data and reduce the noise fluctuation,further decrease the positioning error and implement the data more accurate ESSI output.