1 Spectral Analysis for Narrowband FM For Tone Modulation Only Using Trig Identities we can write u p ( t ) as: u p (t ) A cos ( 2p f c t ) cos ( β sin ( 2p f mt ) ) − A sin ( 2p f c t ) sin ( β sin ( 2p f mt ) ) In Complex Envelope Notation, this can be represented as: From the Complex Envelope, it is easy to see we a large unmodulated carrier in the Inphase component, whereas the message information is now in a time-varying Quadrature component. From here, we can proceed in two ways. Madhow likes to look at this from the Frequency Domain, whereas I like to proceed from the time Domain. Frequency Domain Approach Note: We have a Carrier, USB, and LSB, just like we did with AM. • . • . • . 2 Time Domain Approach = u p ( t ) Ac cos ( 2p f c t ) − Acθ ( t ) sin ( 2p f c t ) Because β 1 : Thus, our signal reduces to: Using the sin A sin B trig identity: Note the Following: • . • . • . • . 3 Spectral Analysis for Wideband FM For Tone Modulation Only Consider the complex envelope of our FM Signal, if we have tone modulation: u p ( t ) Ac cos ( 2p f c t ) − Acθ ( t ) sin ( 2p f c t ) = u ( t= ) Ac + jθ ( t ) Because the argument of the exponential ( β sin ( 2π f mt ) ) is periodic with T = 1 fm , that means that the modulated signal u ( t ) is periodic. That means we can use a Complex Exponential Fourier Series Expansion to write u ( t ) . Thus: Where the u [ n ] terms are given by: We can then do a change of variables to get: x = f mt dt = u [ n] = 1 fm dx 1 2 j β sin ( 2π x ) − j 2π nx e e dx ∫= − 12 Jn ( β ) J n ( β ) is a_____________________________________________________________________. It is tabulated and we can easily compute the integral. What then falls out is: 4 J n ( β ) is a function of two variables, n and β . Fortunately for us, the values of J n ( β ) are tabulated, and it is clear that the magnitude of J n ( β ) decreases rapidly as n increases. Madhow Figure 3.26 Note the Following: • . • . • . • . 5 Question: What is the Bandwidth? We have two answers: The Absolute Bandwidth (based on the number of significant Bessel functions) and the Carson’s Rule Bandwidth (an approximation based on the range of frequencies that capture approximately 95% of the signal energy). Carson’s Rule Absolute (Bessel)