基于CW测试的多斜率传播模型校正方法

为了提高多斜率传播模型(包括双斜率和三斜率传播模型)的实用性,以及无线网络规划中传播预测的准确性,提出了一种基于CW(Carrier Wave)测试的多斜率传播模型校正方法。该算法通过多斜率传播模型迭加街区损耗及地物损耗分量将模型扩展,整理成为线性的形式,并将每个分段划分为本地中值分量和随机分量两个部分,采用迭代式线性最小二乘法,在每次迭代中依次求解出两个分量中的各项系数,并引入系数有效性控制以保证校正后模型能够有效使用。通过实验和仿真说明了算法的有效性和合理性,为无线网络规划工程中类似问题的解决提供了借鉴。

Calibration Method for Multi-Slope Propagation Models Based on CW Test

The application of multi-slope propagation models is widely discussed in wireless network planning,but it is difficult because of accuracy problem.Explores a novel method for the calibration of multi-slope(including two-slope and three-slope) propagation models based on CW(Carrier Wave) test,in order to improve the accuracy of propagation loss prediction in wireless network planning and the practicability of multi-slope propagation models.The presented method extended the multi-slope propagation models through adding the factors of street blocks and clutters,transformed each subsection into linear format,divided the subsections into local mean part and stochastic part,and took an iterative LLSM(Linear Least-Square Method) as the basic algorithm.In each iteration,the coefficients of each part were calculated in turn,and the restriction of the coefficients was included for further applications of the calibrated propagation models.The effectiveness and the reasonability of the presented method are proved by experiments and simulations.The presented method can be referenced when dealing with similar problems in wireless network planning.