无线网络信号衰退测量方法研究与仿真

Wireless Network Signal Recession Measurement Method and Simulation

研究无线网络信号衰退测量问题。在无线网络中,随着传输距离的增加,信号的频率和振幅等属性将存在较大程度的差异,造成差异性较大的信号特征在融合处理的过程中出现信号冲突的问题,导致无线网络信号衰退。传统的信号衰退测量方法是根据衰退特征进行测量的,由于信号融合过程中存在冲突,导致信号特征准确率降低,无法实现无线网络信号衰退程度的准确测量。为此,提出了一种基于多特征差值算法的无线网络信号衰退测量方法。利用多特征信息融合方法进行无线网络信号相关信息整合处理,为无线网络信号衰退测量提供数据基础。利用多特征差值算法,计算准确的无线网络信号衰退特征。实验结果表明,利用本文算法能够有效提高无线网络信号衰退测量的准确性,取得了令人满意的结果。

The wireless network signal recession measurement problem. In the wireless network, with the increase of the transmission distance, the signal frequency and amplitude attribute will be larger degree of difference, difference caused by large signal characteristics in the fusion processing appear in the process of the signal conflict prob-lems, leading to a wireless network signal recession. The traditional signal recession measuring method is based on the characteristics of measurement of the recession, due to the fusion signal existing in the course of conflict, causes signal feature accuracy is reduced, can＇t realize the wireless network signal recession degree of accurate measure- ment. Therefore, this paper proposes a feature based on difference algorithm wireless network signal decay method of measurement. Use the characteristic information fusion method for wireless network signal correlation information integration processing, for the wireless network signal decay measurements provide the data base. Use characteristic difference algorithm, accurate calculation of the wireless network signal decay characteristics. The experimental results show that by the algorithm can effectively raise a wireless network signal measuring accuracy of the recession, and achieved satisfactory results.