Research On Prediction Of Wireless Signal In Different Scenes And Software Realization

Wireless network planning on the communication model has a high degree of dependence. Although there are many standard propagation models, which are suitable for open ground and simple scenes, and they are difficult to predict for wireless signal propagation with highly accuracy. This thesis aims to study the wireless signal propagation prediction in complicated scenes, and put forward the corresponding propagation model correction algorithm. And it also introduces the realization procedure of the software.The paper includes the following parts.Firstly, this paper puts forward the standard Propagation Model (Stand Propagation Model, SPM) optimization correction method which is the weighted least squares and compared with the traditional linear least squares in different aspects. Compared with the traditional method, with the same error phase, the weighted least squares is less time-consuming, and its iteration times is decreased, which will make the correction process more efficiency. Secondly, this paper introduces the wireless signal propagation prediction software realization structure with class diagrams. It also analyzes the diffraction loss calculation methods and effective antenna height calculation methods in different scenes and gives some guidance advices, which will make the prediction result more accuracy.At the end of the paper, it shows the wireless signal prediction results with different propagation model by using the tool and also gives the longitudinal comparison after using the corrected propagation.