Modulate using FM method
object™ applies FM modulation to an input signal.
To FM modulate a signal:
Starting in R2016b, instead of using the
to perform the operation defined by the System
object™, you can
call the object with arguments, as if it were a function. For example,
= step(obj,x) and
y = obj(x) perform
H = comm.FMModulator creates a modulator System
that frequency modulates an input signal.
H = comm.FMModulator(demod) creates an
FM modulator object whose properties are determined by the corresponding
FM demodulator object,
H = comm.FMModulator( creates
an FM modulator object with each specified property
to the specified
appear inside single quotes. You can specify additional name-value
pair arguments in any order as (
Peak deviation of the output signal frequency (Hz)
Specify the frequency deviation of the FM modulator in Hz as
a positive real scalar. The default value is
Sample rate of the input signal (Hz)
Specify the sample rate in Hz as a positive real scalar. The
default value is
|reset||Reset states of the FM modulator object|
|step||Applies FM baseband modulation|
|Common to All System Objects|
Allow System object property value changes
Apply baseband modulation to a sine wave input signal and plot its response.
Set the example parameters.
fs = 1e3; % Sample rate (Hz) ts = 1/fs; % Sample period (s) fd = 50; % Frequency deviation (Hz)
Create a sinusoidal input signal with duration 0.5s and frequency 4 Hz.
t = (0:ts:0.5-ts)'; x = sin(2*pi*4*t);
Create an FM modulator System object™.
MOD = comm.FMModulator('SampleRate',fs,'FrequencyDeviation',fd);
FM modulate the input signal and plot its real part. You can see that the frequency of the modulated signal changes with the amplitude of the input signal.
y = step(MOD,x); plot(t,[x real(y)])
Apply FM baseband modulation to a white Gaussian noise source and plot its spectrum.
Set the example parameters.
fs = 1e3; % Sample rate (Hz) ts = 1/fs; % Sample period (s) fd = 10; % Frequency deviation (Hz)
Create a white Gaussian noise source having a duration of 5s.
t = (0:ts:5-ts)'; x = wgn(length(t),1,0);
Create an FM modulator System object? and modulate the input signal.
MOD1 = comm.FMModulator('SampleRate',fs,'FrequencyDeviation',fd); y = step(MOD1,x);
Create another modulator object,
MOD2, whose frequency deviation is five times larger and apply FM modulation.
MOD2 = comm.FMModulator('SampleRate',fs,'FrequencyDeviation',5*fd); z = step(MOD2,x);
Plot the spectra of the two modulated signals. The larger frequency deviation associated with channel 2 results in a noise level that is 10 dB higher.
SA = dsp.SpectrumAnalyzer('SampleRate',fs,'ShowLegend',true); step(SA,[y z])
 Chakrabarti, I. H., and Hatai, I. “A New High-Performance Digital FM Modulator and Demodulator for Software-Defined Radio and Its FPGA Implementation.” International Journal of Reconfigurable Computing. Vol. 2011, No. 10.1155/2011, 2011, p. 10.
 Taub, Herbert, and Donald L. Schilling. Principles of Communication Systems. New York: McGraw-Hill, 1971, pp. 142–155.
Represent a frequency modulated passband signal, Y(t), as
where A is the carrier amplitude, fc is the carrier frequency, x(τ) is the baseband input signal, and fΔ is the frequency deviation in Hz. The frequency deviation is the maximum shift from fc in one direction, assuming |x(t)| ≤ 1.
A baseband FM signal can be derived from the passband representation by downconverting it by fc such that
Removing the component at -2fc from ys(t) leaves the baseband signal representation, y(t), which is expressed as
The expression for y(t) is rewritten as
where , which implies that the input signal is a scaled version of the derivative of the phase, ϕ(t).
A baseband delay demodulator is used to recover the input signal from y(t).
A delayed and conjugated copy of the received signal is subtracted from the signal itself,
where T is the sample period. In discrete terms, wn=w(nT), and
The signal vn is the approximate derivative of ϕn, such that vn ≈ xn.
Usage notes and limitations:
See System Objects in MATLAB Code Generation (MATLAB Coder).