Skip to main content

Analog Communication Systems Project | With MATLAB Code



You can work on amplitude modulation (AM), frequency modulation (FM), or phase modulation (PM) based analog communication projects in analog communication projects. You've probably heard that each town and city has its own radio station. It's commonly referred to as an 'FM Radio Station.' Frequency modulation (FM) is the technology utilized to operate such radio stations. It has a frequency range of 90 to 108 MHz.

A high-frequency carrier is required to transmit any baseband signal. It's nearly difficult without a carrier. We've already talked about why modulation is so important. You are welcome to look through it. We modulate our original speech signal with a high-frequency carrier wave and change the frequency of the modulated carrier signal by the amplitude or voltage of the voice signal to transmit it.

For your information, a vocal transmission, for example, is first translated into an electric signal. It is now known that distinct voltage levels exist for different signals. Now, the carrier wave's frequency is varied by the voltage or current of voice signals, allowing us to transfer data through free space or air.

Now, for a better understanding, we'll go over basic mathematical concepts.

Vc = A*Sin(θ) = A* Sin (wt + Φ)

The above equation is a modulated signal notation, which shows that all signals have some common properties such as amplitude, frequency, and phase. Our portfolio in this article is frequency modulation or FM. So, in this case, we're primarily interested in the modulated signal's frequency component.

As the amplitude or voltage of the speech signal varies, the carrier signal's frequency swings in a certain range. In that instance, we see a certain level of frequency deviation.

For instance, we can represent it numerically as follows:

Fi = Fc + ΔFc

where Fi is the instantaneous frequency that the FM receiver receives. Fc is the carrier signal's frequency, and ΔFc is the frequency deviation which is basically responsible for carrying information.

Assume, for example, that you have a wideband FM signal.

The standard bandwidth of a wideband FM is 200 kHz. A frequency deviation of +/-75 kHz is used on both sides, as well as an extra guard band of 25 kHz, to protect the signal from interference from other radio stations.

Now the entire band will have the same appearance.

25 KHz + 75 KHz + 75 KHz + 25 KHz (guard band + frequency deviation (due to -75 KHz deviation + frequency deviation (due to +75 KHz deviation + guard band)

As previously stated, the bandwidth of the above FM channels is 200 KHz. Wideband FM has been demonstrated in the example above.


When the ratio of the highest to lowest operating frequency (positive frequency) is substantially more than one. Then it's known as a wideband signal. On the other hand, if the radio is close to 1, it is referred to as a narrowband signal.


For realistic FM broadcasting First, the microphone converts the original voice signal to an electrical signal, which is then passed via a pre-amplifier to amplify the millivolt signal into a stronger signal, which helps to enhance the signal-to-noise ratio. The next stage is to use an oscillator to generate a high-frequency carrier wave, which is then modulated by the baseband message or speech signal. Final amplifiers compensate for signal attenuation after it has passed through the modulation step. Finally, the signal is sent from the transmitter to free space or air. Read More...


MATLAB code for FM (Frequency Modulation) Signal




Output











Also read about

[1] Digital Communication Mini Projects
[2] More Wireless Communication Projects/Thesis ideas for Final Year Students [click here]

#analog and digital communication projects

<<Previous Page



Contact Us

Name

Email *

Message *

Popular Posts

MATLAB Code for Constellation Diagram of QAM configurations such as 4, 8, 16, 32, 64, 128, and 256-QAM

📘 Overview of QAM 🧮 4-QAM MATLAB 🧮 16-QAM MATLAB 🚀 Online Simulator 📂 Other Topics on Constellation Diagrams... ▼ 🧮 MATLAB Code for 4-QAM 🧮 MATLAB Code for 16-QAM 🧮 MATLAB Code for m-ary QAM 🧮 Simulator for m-ary PSK 🧮 Simulator for m-ary QAM 🧮 Overview of Energy per Bit (Eb / N0) 🧮 Simulator for ASK, FSK, and PSK Overview of QAM One of the best-performing modulation techniques is QAM [↗] . Here, we modulate the symbols by varying the carrier signal's amplitude and phase in response to the variation in the message signal (or voltage variation). So, we may say that QAM is a combination of phase and amplitude modulation. Additionally, it performs better than ASK or PSK [↗] . In fact, any constellation for any type of modulatio...

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 2026 - Question Paper Download PDF June 202...

GMSK BER vs SNR (with Simulation)

  GMSK Performance: Why the BER vs. SNR Curve Matters If you’ve ever wondered why GMSK (Gaussian Minimum Shift Keying) became the backbone of the global GSM revolution, the answer lies in its unique balance of spectral efficiency and power performance. But there is no free lunch in engineering. To get that sleek, narrow spectrum, you have to pay a price in Bit Error Rate (BER) . In this guide, we break down the theoretical BER vs. SNR performance of GMSK, the "magic" of the BT product, and how to optimize your link budget for real-world conditions. What is GMSK and Why Should You Care? GMSK is a derivative of MSK (Minimum Shift Keying) that uses a Gaussian pre-modulation filter. This filter "smooths" the phase transitions, significantly reducing sideband power. The result? A constant envelope signal that allows you to use high-efficiency Class-C amplifiers without distorting the signal. This is the secr...

Flat vs Frequency Selective Online Simulator

Flat vs Frequency Selective Online Simulator Channel Type Without Fading Flat Fading Multipaths Nakagami m SNR(dB) Run Simulation Input Signal Signal After Fading Constellation Diagram BER vs SNR Explore Advanced Flat vs Frequency-Selective Fading Simulator Want to see these equations in action? Visualize it. Launch Simulator Tool Flat Fading and Frequency-Selective Fading Effects of Multipath Components and the Nakagami-m Parameter 1. Flat Fading Flat fading occurs when the signal bandwidth is smaller than the channel's coherence bandwidth, meaning that all frequency components of the transmitted signal experience approximately the same fading. It is typically associated with narrowband signals, where the multipath delay spread is small relative to the symbol duration. ...

Orthogonal Time Frequency Space (OTFS) (with MATLAB)

In OTFS (Orthogonal Time Frequency Space) modulation — a scheme designed for high-Doppler and time-varying wireless channels — the terms ISFFT and SFFT are key mathematical transformations used to move between different representation domains. Figure: OTFS block diagram 1. ISFFT — Inverse Symplectic Finite Fourier Transform Purpose: Transforms data symbols from the delay-Doppler domain to the time-frequency domain . \[ X[n, m] = \frac{1}{\sqrt{NM}} \sum_{k=0}^{N-1} \sum_{l=0}^{M-1} x[k, l] \, e^{j2\pi \left( \frac{nk}{N} - \frac{ml}{M} \right)} \] Here, \( N \) is the number of Doppler bins (time slots), and \( M \) is the number of delay bins (subcarriers). The ISFFT maps each data symbol from the delay-Doppler grid (where the channel is sparse and easier to equalize) to the time-frequency grid (where standard multicarrier modulation like OFDM can be applied). 2. SFFT — Symplectic Finite Fourier Transform Purpose: Performs the reverse operation ...

Quantization Signal to Noise Ratio (Q-SNR)

What is Quantization? Quantization: Quantization in Digital Signal Processing (DSP) is the process of mapping a large set of input values to a smaller set. It’s essential for converting analog signals into digital form. × Quantization Explanation For a signal varies from -8 V to +8 V, giving a total quantization range of 16 V. If the number of quantization levels is 4, the step size will be: \[ v_{\min} = -8, \quad v_{\max} = 8, \quad L = 4 \] Quantization step size: \[ \Delta = \frac{v_{\max} - v_{\min}}{L} = \frac{8 - (-8)}{4} = \frac{16}{4} = 4 \] Partition boundaries (decision levels): \[ p_0 = -8, \quad p_1 = -8 + 4 = -4, \quad p_2 = 0, \quad p_3 = 4, \quad p_4 = 8 \] Quantization codebook (reconstruction levels): \[ c_i = v_{\min} + \left(i + \frac{1}{2}\right) \Delta, \quad i = 0, 1, 2, 3 \] Calculate each codeword: \[ c_0 = -8 + \left(0 + \frac{...

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...

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...