Simulation of AM and ASK Radio Signal Characteristic Identification

• Main Authors: LIOU JIA YI, 劉佳宜
• Other Authors: JHOU RUEI SYONG
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/74414270205538265693

碩士 === 中華科技大學 === 電子工程研究所碩士班 === 102 === Fingerprint identification technology is a kind of technology to obtain feature parameters through the received signals and make comparison and identification with the database. Nowadays, it is a development direction of modern technology on how to extract the relations between the signal features of transmitter and different features, so as to improve success rate of identification. The thesis uses the additional modulation characteristics of transmitter steady-state and traditional higher-order statistics dynamic gap, and relies on the basis of identification algorithm to develop AM and ASK radio transmitter fingerprint identification technology. Firstly, it uses chaotic equation to generate chaotic testing signals. Then, it is multiplied with signal carrier to take amplitude modulation, thus to complete signal modulation. Secondly, it uses the feature parameters proposed in the thesis to make identification with the features database. The feature parameters are higher-order statistics moment and R features for instantaneous signal envelope. The simulation results are as the following: use MATLAB to simulate AM signal and ASK signal, and make comparative identification with the database through features extracting. In the ideal SNR, AM and ASK radio transmitter identification will be 100% accurate. With the decrease in SNR, AM and ASK radio transmitter identification will follow the fall and can still be maintain a certain accuracy. Besides, The proposed identification method is feasible.