Bessel函数测距模型的RSSI测距方法

针对现有RSSI测距方法中,影响测距精度的RSSI测量值难以准确估计和RSSI值与距离对应衰减关系不明确的问题,给出一种基于Bessel函数测距模型的RSSI测距方法。首先对RSSI原始测量数据进行异常值剔除,滤波和凸优化提取趋势项的预处理,然后建立基于Bessel函数的测距模型,基于预处理所得光滑数据,利用最小二乘法辨识测距模型中未知参数,从而得到具体测距模型表达式。基于实测数据对所提方法进行实验验证,与Shadowing模型、分段函数测距模型对比,结果表明,Bessel函数测距模型的RSSI误差均值在1.8dBm范围以内,能更有效反映RSSI值衰减关系,提高了测距精度且计算开销不大。

RSSI Ranging Method of Bessel Function Ranging Model

A RSSI ranging method based on Bessel function ranging model is proposed to solve the problem that the RSSI measuring value which affects the ranging accuracy is difficult to estimate accurately and the attenuation relation between RSSI value and distance is not clear. Firstly,the abnormal value is removed from the original RSSI data,Filtering and convex optimization to extract trend items for preprocessing. Then,the ranging model based on Bessel function is established. Based on the smooth data after pretreatment,the unknown parameters in the ranging model are identified by the least square method,and the specific ranging model expression is obtained. The experimental verification of the proposed method is based on the measured data,and the comparison with Shadowing model and piecewise function ranging model shows that the RSSI error mean of Bessel function ranging model is within the range of 1.8dBm,which can effectively reflect the attenuation relationship of RSSI value and improve the accuracy of ranging and have a low computation cost.