Done by: BASIL Z. BARZAQ 120070737 BASSAM H. SALLOUHA 120071676 MOHAMED A. ELSHAER 120071709 Supervised by: Eng.: Mohammed Kamel AbuFoul May 2010.

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Presentation transcript:

Done by: BASIL Z. BARZAQ BASSAM H. SALLOUHA MOHAMED A. ELSHAER Supervised by: Eng.: Mohammed Kamel AbuFoul May 2010

 Understanding frequency modulation and demodulation by direct differentiation,slope detection.  Using MATLAB m-file and simulink to implement FM modulation,demodulation.

 Definition: it’s a form of modulation which represents information as variations in the instantaneous frequency of a carrier wave.  Note: 1)In analog applications,the carrier frequency is varied in direct proportion to changes in the amplitude of an input signal.

2) The FM-modulated signal has its instantaneous frequency that varies linearly with the amplitude of the message signal. Now we can get the FM-modulation by: Where: Kƒ is the sensitivity factor, and represents the frequency deviation rate as a result of message amplitude change. The instantaneous frequency is:

The maximum deviation of Fc (which represents the max. shift away from Fc in one direction) is: Note: The FM-modulation is implemented by controlling the instantaneous freq. of a voltage-controlled oscillator(VCO). The amplitude of the input signal controls the oscillation freq. of the VCO output signal.

 In the FM demodulation what we need to recover is the variation of the instantaneous frequency of the carrier, either above or below the center frequency.  The detecting device must be constructed so that its output amplitude will vary linearly according to the instantaneous freq. of the incoming signal.

 In this method we differentiate the FM signal to get an AM signal, then we use an envelope detector.

 The code of plotting m(t) and FM modulated signal: clear all fc=100; ts=1/(10*fc); fs=(1/ts); kf=80; wc=2*pi*fc; t=0:ts:2; m=sin(2*pi*t); y=cos(wc*t+(kf*2*pi*cumsum(m)).*ts); figure(1) subplot(211) plot(t,m) title('input signal') subplot(212) plot(t,y) title('fm modulation of input signal')

 The code of magnitude spectrum of m(t) and the FM signal: mf=fftshift(fft(m))*ts; delta=fs/length(mf); f=-fs/2:delta:fs/2-delta; figure(2) subplot(211) plot(f,abs(mf)) title('magnitude spectrum of input signal') a=fftshift(fft(y))*ts; delta=fs/length(a); f=-fs/2:delta:fs/2-delta; subplot(212) plot(f,abs(a)) title('magnitude spectrum of the fm')

 The plot of the output signal after differentiator: E=diff(y)/ts; figure(3) plot(E) title('the differentiation of fm ')

 The plot of the output signal from the envelope detector: vout(1)=E(1); t1=(0:length(E)-1)*ts; R=[10^5,10^4,10^3,10^2]*3.2; c=10^-6; for n=1:4 for i =2:length(E) if E(i)>vout(i-1) vout(i)=E(i); else vout(i)=vout(i-1).*exp(-ts/(R(n)*c)); end figure(4) subplot(4,1,n) plot(t1,vout,t1,E) title(' the AM signal and envelope signal ') end

 R= 10^5*3.2

 R=10^4*3.2

 R= 10^3*3.2

 R= 10^2*3.2