CAJ | 학술논문

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.
침대기우신호회파강도(ESSI)적무선전감기측거문제,ESSI치존재파동、돌변등특점,도치측거결과오차교대.제출료일충기우체추균치려파,중위치려파이급고사려파적혼합려파산법,재과려이상ESSI치적기출상,감소수치적파동,대ESSI치진행우화.통과방진실험증명,혼합려파산법가이유효과려이상ESSI치,진일보축소오차,동시실현ESSI수거경위정학적수출.
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.