【摘要】 首先对现有的"路径—损耗"模型进行了修正,引入距离估计误差随机变量,由于其一般误差较小,不足以改变现有的模型中遮蔽因子的概率密度函数,所以遮蔽因子仍然满足正态分布.然后,推导了一种迭代最大似然估计算法,通过有限次的迭代,可以将由遮蔽因子导入的误差减小到一定程度,并得到令人满意的用户位置的估计结果.模拟表明,该方法可以提供较高的精度.更多还原

【Abstract】 Inserting a random variable distance estimation error into the "distance-loss" model results in solvable equations with maximum-likelihood algorithm. The estimation error is too small to change the distribution of log-normal shadowing factor in the model. Therefore an iterative method is introduced to reduce the influence of shadowing and the location estimation based on the received signal strength will be improved. Simulations show that this algorithm is effective.更多还原