Abstract: Society becomes more developed now, science and technology in the update, in which
signal and analog circuits often used in modulation and demodulation, and AM modulation and
demodulation is the most basic, is also frequently used. To participate in the identification of such
artificial methods, the ruling includes subjective factors, will vary from person to person, can
identify the type of modulation is very limited. Automatic modulation recognition technology can
be overcome not only to participate in recognition of artificial difficulties, and the center
frequency and bandwidth of the estimation error, adjacent channel crosstalk, noise and
interference factors such as the decline of effect is relatively robust. Using AM modulation and
demodulation circuit which can achieve a lot of features, creating a lot of useful and affordable
electronic products, in order to facilitate our lives. Used in our daily lives is the use of AM radio
modulation, but also in the field of military and civilian research topics are very important.
The main content of this paper is to understand the mathematical model of the AM signal and
the modulation and the demodulation method. Demodulation different methods in different
circumstances of the demodulation signal to noise ratio the results of methods that better, to make
the comparison. Requirement is more than double the sound and the AM signal modulation and
demodulation. AM modulation first study of its function and in real life use. AM demodulation
followed by research, as well as some related knowledge, as well as through its use of
communications more in-depth understanding of it. AM signal from the tone of the mathematical
model and the modulation and demodulation methods, the two-tone AM signal to draw a
mathematical model and the block diagram of modulation and demodulation and modulation and
demodulation waveforms. MATLAB programming language to use to achieve the two-tone AM
signal modulation and demodulation, given the different circumstances of the demodulation signal
to noise ratio compared the results.
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