Statistical analysis of 900MHz radio signal with spectral density properties
Hui Zhang, Guochu Shou, Yihong Hu, Haiyuan Liu · 2011
In order to study the spectral density properties of 900MHz radio signal, the time series theory is introduced into statistical analysis. By means of the statistical data from signal acquisition system, the spectral density analysis principle is introduced. Moreover, both the autoregressive (AR) spectral estimation and autoregressive moving average (ARMA) spectral estimation are taken into spectral density analysis. From signal frequency-density figure, it shows the spectral density decline from frequency 0 to frequency 1/2. Moreover, the high spectral density distributes among relatively low-frequency area, and the analysis results indicate that the signal sequence mainly with abnormal cycle fluctuation.