Skip to main content

MATLAB Code for Pulse Position Modulation (PPM) and Demodulation


MATLAB Code for Pulse Position Modulation (PPM)

MATLAB Code for PPM (Simple)


clc; clear; close all;
% Parameters for the sine wave and PPM
A = 5;                 % Amplitude of the sine wave
f = 1;                 % Frequency of the sine wave in Hz
sampleRate = 0.1;      % Sampling interval (Δt)
numSamples = 50;       % Number of samples
t = (0:numSamples) * sampleRate;  % Time vector (from 0 to numSamples * Δt)

% Generate the sinusoidal signal x(t) = A * sin(2 * pi * f * t)
x_t = A * sin(2 * pi * f * t);

% Calculate the Pulse Position Modulation (PPM) positions
ppm_positions = zeros(1, numSamples+1); % Initialize an array for PPM pulse positions
ppm_pulses = zeros(1, numSamples+1);    % Initialize an array to store pulse heights (constant amplitude)
pulse_height = 1;                       % Constant pulse height (amplitude)

% Loop through each time sample and compute the pulse positions
for i = 1:numSamples+1
    % Calculate the pulse shift based on the amplitude of the sine wave at this time
    pulseShift = max(0, x_t(i));   % Only shift for positive amplitude
    ppm_positions(i) = t(i) + sampleRate * pulseShift;  % Pulse position calculation
    ppm_pulses(i) = pulse_height;  % Set the pulse height to constant value
end

% Plotting the sine wave and PPM
figure;

% Plot the sine wave
subplot(2,1,1);
plot(t, x_t, 'b', 'LineWidth', 2);
title('Sinusoidal Signal x(t) = 5 sin(2\pi \cdot 1 \cdot t)');
xlabel('Time (s)');
ylabel('Amplitude');
grid on;

% Plot the PPM pulses with constant height
subplot(2,1,2);
hold on;
for i = 1:numSamples+1
    if ppm_pulses(i) > 0  % Only plot pulses if there is a shift (i.e., positive amplitude)
        plot([ppm_positions(i) ppm_positions(i)], [0 ppm_pulses(i)], 'r', 'LineWidth', 2); % Vertical line for pulse
    end
end
title('Pulse Position Modulation (PPM)');
xlabel('Time (s)');
ylabel('Pulse Amplitude');
grid on;
web('https://www.salimwireless.com/search?q=ppm%20pulse%20modulation', '-browser');
    

Output

PPM output waveform in MATLAB
Figure: PPM Output in MATLAB

MATLAB Code for PPM (at Falling Edges of PWM)


% The code is developed by SalimWireless.com
clc; clear; close all;
% === Existing PWM generation code === (unchanged)
fs_carrier = 10;       % Carrier frequency in Hz
f_signal = 3;          % Message signal frequency in Hz
sampleRate = 50000;    % Samples per second
duration = 1;          % Duration in seconds

t = linspace(0, duration, sampleRate * duration);
signal = sin(2 * pi * f_signal * t);
normalizedSignal = (signal + 1) / 2;

samplesPerCarrierPeriod = floor(sampleRate / fs_carrier);
pwm = zeros(1, length(t));

for i = 1:samplesPerCarrierPeriod:length(t)
    startIndex = i;
    if startIndex > length(t)
        break;
    end
    duty = normalizedSignal(startIndex);
    onSamples = floor(samplesPerCarrierPeriod * duty);
    endIndex = min(startIndex + samplesPerCarrierPeriod - 1, length(t));
    onEndIndex = min(startIndex + onSamples - 1, endIndex);
    pwm(startIndex:onEndIndex) = 1;
end

carrierSquare = double(mod(t * fs_carrier, 1) < 0.5);

samplesToPlot = floor(3 * (sampleRate / f_signal));
t_plot = t(1:samplesToPlot);
signal_plot = signal(1:samplesToPlot);
carrier_plot = carrierSquare(1:samplesToPlot);
pwm_plot = pwm(1:samplesToPlot);

% === Identify falling edges of PWM ===
fallingEdges = find(diff(pwm_plot) == -1) + 1;  % indices where pwm goes 1->0

% === Generate PPM pulses at falling edges ===
ppmPulseWidth = round(sampleRate * 0.0001); % 0.1 ms pulse width for example

ppmSignal = zeros(size(pwm_plot));
for idx = fallingEdges
    pulseEnd = min(idx + ppmPulseWidth - 1, length(ppmSignal));
    ppmSignal(idx:pulseEnd) = 1;
end

% === Plot all signals ===
figure('Name', 'PWM and PPM Pulses', 'Color', 'w');
hold on;
plot(t_plot, signal_plot, 'b', 'LineWidth', 1.2);
plot(t_plot, carrier_plot, 'g--', 'LineWidth', 1);
stairs(t_plot, pwm_plot, 'r', 'LineWidth', 1.2);
stairs(t_plot, ppmSignal * 1.2, 'k', 'LineWidth', 1.5); % multiplied by 1.2 for vertical offset

hold off;
xlabel('Time (s)');
ylabel('Amplitude');
title('PWM Output with PPM Pulses at Falling Edges');
legend('Message Signal (Sine)', 'Square Carrier', 'PWM Output', 'PPM Pulses (at falling edges)', 'Location', 'southoutside', 'Orientation', 'horizontal');
grid on;
ylim([-0.2 1.5]);  % Adjust y-axis for visibility
web('https://www.salimwireless.com/search?q=pwm%20pulse%20modulation', '-browser');
    

Output

PPM waveform at falling edges of PWM in MATLAB
Figure: PWM and PPM Output in MATLAB



Contact Us

Name

Email *

Message *

Popular Posts

Online Simulator for ASK, FSK, and PSK Signal Generation

Interactive Digital Signal Processing (DSP) Tutorial and Simulator for ASK, FSK, and BPSK modulation techniques. Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Digital Modulation Visualizer: ASK, FSK, & BPSK Simulator Learn and visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. Perfect for DSP students and engineers. 📡 ASK Simulator 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator Demodulation More Topics 1. ASK (Ampli...

Direction of Arrival (DoA) Online Simulator (using MUSIC)

Interactive DOA Simulator X-axis XY angle (deg): 45 XZ angle (deg): 30 Noise: 0.05 Y-axis XY angle (deg): 60 YZ angle (deg): 45 Noise: 0.05 Z-axis XZ angle (deg): 60 YZ angle (deg): 30 Noise: 0.05 Estimated DOA (deg): 0 Simulation Workflow and Mathematical Background This simulator demonstrates Direction of Arrival (DOA) estimation using three-axis sensor signals (X, Y, Z), Maximal Ratio Combining (MRC) , and the MUSIC algorithm . It allows interactive control of signal angles and noise for teaching purposes. 1. Signal Generation A pure sinewave signal of frequency f is projected onto three axes using user-defined angles in different planes: X-axis: θ XY , θ XZ Y-axis: θ XY , θ YZ Z-axis: θ XZ , θ YZ Mathematically, for each time sample t : x(t) = s(t) * cos(θ_xy_x) * cos(θ_xz_x) + n_x(t) y(t) = s(t) * sin(θ_xy_y) * cos(θ_yz_y) + n_y(t) z(t) = s(t) * sin(θ_xz_z) * sin(θ_yz_z) + n_z(t) wh...

UGC NET Electronic Science Previous Year Question Papers with Solutions

Download Papers and Solutions Exam Pattern Preparation Tips FAQs More Home / Engineering & Other Exams / UGC NET 2026 PYQ 📊 Exam Highlights: Electronic Science (88) Feature Details Junior Research Fellowship (JRF) ₹37,000 + HRA per month Eligibility M.Sc/M.Tech in Electronics (55%) Validity of Certificate JRF (3 Years) | Lectureship (Lifetime) 📥 Download UGC NET Electronics PDFs Complete collection of previous year question papers, answer keys and explanations for Subject Code 88. Start Downloading 📂 View All Question Papers June 2025 - Question Paper Download PDF June 2025 - Sol...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📈 Q-function 📚 Resources BASK Modulation Transmits one of two signals: 0 or $\sqrt{E_b}$, representing binary 0 and 1. Simple but sensitive to noise. BFSK Modulation Transmits one of two signals: $\sqrt{E_b}$ on the Y-axis or $\sqrt{E_b}$ on the X-axis. These are orthogonal signals. BPSK Modulation Transmits $+\sqrt{E_b}$ or $-\sqrt{E_b}$ (antipodal signaling). Most efficient binary scheme. ...

OFDM Symbols and Subcarriers Explained

This article explains how OFDM (Orthogonal Frequency Division Multiplexing) symbols and subcarriers work. It covers modulation, mapping symbols to subcarriers, subcarrier frequency spacing, IFFT synthesis, cyclic prefix, and transmission. Step 1: Modulation First, modulate the input bitstream. For example, with 16-QAM , each group of 4 bits maps to one QAM symbol. Suppose we generate a sequence of QAM symbols: s0, s1, s2, s3, s4, s5, …, s63 Step 2: Mapping Symbols to Subcarriers Assume N sub = 8 subcarriers. Each OFDM symbol in the frequency domain contains 8 QAM symbols (one per subcarrier): Mapping (example) OFDM symbol 1 → s0, s1, s2, s3, s4, s5, s6, s7 OFDM symbol 2 → s8, s9, s10, s11, s12, s13, s14, s15 … OFDM sym...

Design of CMOS XOR/XNOR Gates

Design of CMOS XOR/XNOR Gates The semiconductor industry has experienced rapid integration of multimedia applications into mobile electronics, leading to very high integration density in CMOS VLSI. As operating frequencies increase, power consumption, speed, silicon area, and reliability become critical considerations. The XOR-XNOR circuits are fundamental building blocks in arithmetic circuits (Full Adders, Multipliers), compressors, comparators, parity checkers, code converters, error-detecting/correcting codes, and phase detectors. Their performance directly impacts the complex circuits they are used in. Design goals include full output voltage swing, low power consumption, reduced transistor count, minimal delay, and simultaneous non-skewed outputs. Static Logic (Static CMOS) Stat...

Clarke-Jakes model Explained

  Understanding Clarke-Jakes Model: The Foundation of Rayleigh Fading A comprehensive guide to the Clarke-Jakes model, the Doppler Bathtub Spectrum, and precision Coherence Time calculations in wireless communications. What is Clarke’s Model? Clarke’s Model (often called the Clarke-Jakes model) is the mathematical framework used to describe small-scale fading in mobile wireless channels. It explains how a signal behaves when a receiver moves through a dense multipath environment where there is no direct Line-of-Sight (NLOS). Key Assumptions: A fixed transmitter and a moving receiver. An infinite number of scatterers (rich multipath). Signals arrive from all horizontal directions (360°) with equal probability. The received signal envelope follows a Rayle...