Skip to main content

Sky Wave, Microwave Link Communication and Satellite Communication (SATCOM)


Overview

Sky Wave, Microwave Link Communication, and Satellite Communication  (SATCOM) are the focus of this article. Sky Waves are essentially AM waves that the ionosphere reflects. For long-distance communication on Earth, we employ standard microwave link transmission. However, we all know that the earth is not flat, but rather oval in shape. As a result, the signal can only reach a few kilometers on a straight line of sight path (LOS). The signal is then reflected by the earth's surface. But we know that with that microwave link, we can communicate hundreds of kilometers distance. We'll look at how this happens in this article. Terrestrial satellite communication has now replaced microwave relay link communication.

sky wave

Figure: Ionosphere Reflection - suitable for AM band (Sky Wave)

1. Sky Wave

You can see how the ionosphere bounces the radio signal and enables the ground station to communicate with the transmitter hundreds of kilometers away. This method is ideal for communication at low or medium frequencies. Ionosphere reflects low (AM band) or medium (<30 MHz) range frequency.

Due to its high frequency, the microwave band cuts through the ionosphere, making it ideal for communicating with satellites. However, with the help of the ionosphere, we can efficiently receive a signal at a distance of roughly 650 kilometers from the transmitter.


1.1. Role of Ionosphere for Sky Wave

The ionosphere is one of the top levels of the earth's atmosphere, as we all know. Its altitude ranges from 30 to 600 miles above the earth's surface. We, as humans, reside in the troposphere. Atoms and molecules in the ionosphere are electrically charged. The ionosphere has the unique property of reflecting radio signals below 30 MHz. Signals with operating frequencies greater than 30 MHz penetrate the ionosphere layer. Also, do not return to Earth. In this situation, we always keep the frequency below 30 MHz. When we send a signal via a microwave link, the earth's ionosphere reflects it. In the diagram above, the transmitter emits a signal, which is then reflected by the ground and, in a similar way, by the ionosphere. According to our knowledge, a received signal reflected by the ionosphere is easier to receive by a receiver than a reflected signal by the ground.   

1.3. Frequency Range

535 to 1705 KHz


2. Microwave Link Communication

For terrestrial microwave communication, we depended largely on relay communication. For line-of-sight communication, each relay station is situated 150-200 kilometers apart. However, a key disadvantage of relay communication was that if one of the relay stations in the middle failed, the entire system would fail. As a result, we rely more on satellites. Microwave, on the other hand, is significantly more refracted by hills than low-frequency AM band. As a result, the considerable path loss is observed in the case of microwaves when employing a microwave relay link. In the case of microwave communication, the line of communication is also taken into account.  
microwave link communication

 
 
Microwave link communication is used for long-distance microwave communication. In this situation, a powerful directional microwave beam is used to go further in the earth's troposphere. 

2.1. Frequency Range:

Although microwave frequencies can range from 300 MHz to 300 GHz, we often choose sub-6 GHz frequencies or frequencies between 1 and 6 GHz for microwave link communication.

.

3. Satellite Communication

However, you should be aware that a line-of-sight connection between the transmitter and the receiver is not possible during the whole communication path. Before that signal is reflected by the ground, foliage, and other objects, it becomes scattered and weaker. On the other hand, if one intermediary relay fails, the entire communication system will stop working. As a result, we rely on the signal reflected by the satellites in this case. If there is no ionosphere or satellite, the signal can only travel 150 - 200 kilometers (approx.) as shown in the above figure. Satellite television is a real-world example of terrestrial satellite communication.

3.1. Frequency Range:

Frequencies range from 1 to 40 GHz.
satellite communication

Difference between advantages of tropospheric wave propagation and sky wave (waves reflected or refracted by ionosphere) propagation





Contact Us

Name

Email *

Message *

Popular Posts

UGC NET Electronic Science Previous Year Question Papers with Solutions

Home / Engineering & Other Exams / UGC NET 2026 PYQ ⬇️ Download Papers and Solutions 📋 Exam Pattern 💡 Preparation Tips ❓ FAQs 📊 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 - Solved Paper + Explanation ...

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...

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 More Topics 1. ASK (Amplitude Shift Keying) Simulat...

MATLAB Code for MUSIC

  MATLAB Code clc; clear; close all ; %% Step 1: Define Parameters M = 8; % Number of array sensors d = 0.5; % Sensor spacing (lambda/2) K = 2; % Number of signals N = 200; % Number of snapshots theta = [-20 30]; % True signal angles (degrees) SNR = 10; % Signal-to-noise ratio (dB) fprintf( 'Step 1: Parameters Initialized\n' ); %% Step 2: Generate Signal Sources t = 1:N; s1 = exp(1j*2*pi*0.05*t); s2 = exp(1j*2*pi*0.1*t); S = [s1; s2]; figure; plot(real(S(1,:))) title( 'Signal 1 (Real Part)' ) xlabel( 'Samples' ) ylabel( 'Amplitude' ) figure; plot(real(S(2,:))) title( 'Signal 2 (Real Part)' ) xlabel( 'Samples' ) ylabel( 'Amplitude' ) fprintf( 'Step 2: Source Signals Generated\n' ); %% Step 3: Construct Steering Matrix A = zeros(M,K); for k = 1:K A(:,k) = exp(-1j*2*pi*d*(0:M-1)'*sin(theta(k)*pi/180)); end fprintf( 'Step 3: Steering Matr...

Interactive Eye Diagram & ISI Simulator: Visualizing Signal Integrity

Interactive Eye Diagram & Noise Margin Filter Roll-off (α) α = 0.4 Noise Level Bitstream (TX) Stage 1: Components (Click Legend to Hide/Show) Stage 2: Composite Signal Stage 3: The Eye (Annotated Analysis) Simulation Workflow 1. Pulse Mapping: Each bit a[k] is mapped to a pulse shape p(t) . We use the Raised Cosine filter, which is the standard for bandwidth-limited communication. Clicking the legend above removes a specific bit's contribution to show how it affects the neighbors. 2. Linear Superposition: The total signal x(t) is the sum of all individual pulses shifted by the symbol period T . This "Combined Waveform" shows how pulses "bleed" into each other, cre...

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...