论文部分内容阅读
针对传统路径损耗模型经验参数在室内环境应用中的不足,该文提出了一种基于进化策略的损耗模型参数估计方法。采用启发式的随机搜索方式应用于复杂环境条件下的射频信号建模问题,输出模型较好地拟合了信号衰减曲线,20m范围内误差小于3.7dBm。利用获取模型提供参考节点加权因子,结合加权最邻近算法下的均值法和贝叶斯算法,实现了由二维平面演进到三维空间内的有效定位,平均定位误差可控制在3.4m以内。
Aiming at the shortcomings of the traditional path loss model empirical parameters in indoor environment application, this paper presents a method of parameter estimation of loss model based on evolution strategy. The heuristic random search method is applied to the modeling of radio frequency signals under complex environmental conditions. The output model well matches the signal attenuation curve, and the error within the range of 20m is less than 3.7dBm. The acquisition model is used to provide the reference node weighting factors. Combined with the weighted average nearest neighbor algorithm and the Bayes algorithm, the two-dimensional plane can be effectively evolved into the three-dimensional space. The average positioning error can be controlled within 3.4m.