Skip to main content
Home Wireless Communication Modulation MATLAB Beamforming Project Ideas MIMO Computer Networks Lab 🚀

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



People are good at skipping over material they already know!

View Related Topics to







Admin & Author: Salim

profile

  Website: www.salimwireless.com
  Interests: Signal Processing, Telecommunication, 5G Technology, Present & Future Wireless Technologies, Digital Signal Processing, Computer Networks, Millimeter Wave Band Channel, Web Development
  Seeking an opportunity in the Teaching or Electronics & Telecommunication domains.
  Possess M.Tech in Electronic Communication Systems.


Contact Us

Name

Email *

Message *

Popular Posts

Rayleigh vs Rician Fading

  In Rayleigh fading, the channel coefficients tend to have a Rayleigh distribution, which is characterized by a random phase and magnitude with an exponential distribution. This means the magnitude of the channel coefficient follows an exponential distribution with a mean of 1. In Rician fading, there is a dominant line-of-sight component in addition to the scattered components. The channel coefficients in Rician fading can indeed tend towards 1, especially when the line-of-sight component is strong. When the line-of-sight component dominates, the Rician fading channel behaves more deterministically, and the channel coefficients may tend towards the value of the line-of-sight component, which could be close to 1.   MATLAB Script clc; clear all; close all; % Define parameters numSamples = 1000; % Number of samples K_factor = 5; % K-factor for Rician fading SNR_dB = 20; % Signal-to-noise ratio (in dB) % Generate complex Gaussian random variable for Rayleigh fading channel h_rayleigh = (

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...

Modulation Constellation Diagrams BER vs. SNR MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...   MATLAB Script for  BER vs. SNR for M-QAM, M-PSK, QPSk, BPSK %Written by Salim Wireless %Visit www.salimwireless.com for study materials on wireless communication %or, if you want to learn how to code in MATLAB clc; clear; close all; % Parameters num_symbols = 1e5; % Number of symbols snr_db = -20:2:20; % Range of SNR values in dB % PSK orders to be tested psk_orders = [2, 4, 8, 16, 32]; % QAM orders to be tested qam_orders = [4, 16, 64, 256]; % Initialize BER arrays ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); % BER calculation for each PSK order and SNR value for i = 1:length(psk_orders) psk_order = psk_orders(i); for j = 1:length(snr_db) % Generate random symbols data_symbols = randi([0, psk_order-1]

Comparisons among ASK, PSK, and FSK | And the definitions of each

Modulation ASK, FSK & PSK Constellation MATLAB Simulink MATLAB Code Comparisons among ASK, PSK, and FSK    Comparisons among ASK, PSK, and FSK Comparison among ASK,  FSK, and PSK Performance Comparison: 1. Noise Sensitivity:    - ASK is the most sensitive to noise due to its reliance on amplitude variations.    - PSK is less sensitive to noise compared to ASK.    - FSK is relatively more robust against noise, making it suitable for noisy environments. 2. Bandwidth Efficiency:    - PSK is the most bandwidth-efficient, requiring less bandwidth than FSK for the same data rate.    - FSK requires wider bandwidth compared to PSK.    - ASK's bandwidth efficiency lies between FSK and PSK. Bandwidth Calculator for ASK, FSK, and PSK The baud rate represents the number of symbols transmitted per second Select Modulation Type: ASK FSK PSK Baud Rate (Hz):

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...

Modulation Constellation Diagrams BER vs. SNR BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ... 1. What is Bit Error Rate (BER)? The abbreviation BER stands for bit error rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. It is defined as,  In mathematics, BER = (number of bits received in error / total number of transmitted bits)  On the other hand, SNR refers to the signal-to-noise power ratio. For ease of calculation, we commonly convert it to dB or decibels.   2. What is Signal the signal-to-noise ratio (SNR)? SNR = signal power/noise power (SNR is a ratio of signal power to noise power) SNR (in dB) = 10*log(signal power / noise power) [base 10] For instance, the SNR for a given communication system is 3dB. So, SNR (in ratio) = 10^{SNR (in dB) / 10} = 2 Therefore, in this instance, the signal power i

Constellation Diagrams of ASK, PSK, and FSK

Modulation ASK, FSK & PSK Constellation BASK (Binary ASK) Modulation: Transmits one of two signals: 0 or -√Eb, where Eb​ is the energy per bit. These signals represent binary 0 and 1.  BFSK (Binary FSK) Modulation: Transmits one of two signals: +√Eb​ ( On the y-axis, the phase shift of 90 degrees with respect to the x-axis, which is also termed phase offset ) or √Eb (on x-axis), where Eb​ is the energy per bit. These signals represent binary 0 and 1.  BPSK (Binary PSK) Modulation: Transmits one of two signals: +√Eb​ or -√Eb (they differ by 180 degree phase shift), where Eb​ is the energy per bit. These signals represent binary 0 and 1.  This article will primarily discuss constellation diagrams, as well as what constellation diagrams tell us and the significance of constellation diagrams. Constellation diagrams can often demonstrate how the amplitude and phase of signals or symbols differ. These two characteristics lessen the interference between t

Simulation of ASK, FSK, and PSK using MATLAB Simulink

ASK, FSK & PSK HomePage MATLAB Simulation Simulation of Amplitude Shift Keying (ASK) using MATLAB Simulink      In Simulink, we pick different components/elements from MATLAB Simulink Library. Then we connect the components and perform a particular operation.  Result A sine wave source, a pulse generator, a product block, a mux, and a scope are shown in the diagram above. The pulse generator generates the '1' and '0' bit sequences. Sine wave sources produce a specific amplitude and frequency. The scope displays the modulated signal as well as the original bit sequence created by the pulse generator. Mux is a tool for displaying both modulated and unmodulated signals at the same time. The result section shows that binary '1' is modulated by a certain sine wave amplitude of 1 Volt, and binary '0' is modulated by zero amplitude. Simulation of Frequency Shift Keying (FSK) using MATLAB Simulink   Result The diagram above shows t

Channel Impulse Response (CIR)

Channel Impulse Response (CIR) Wireless Signal Processing CIR, Doppler Shift & Gaussian Random Variable  The Channel Impulse Response (CIR) is a concept primarily used in the field of telecommunications and signal processing. It provides information about how a communication channel responds to an impulse signal.   What is the Channel Impulse Response (CIR) ? It describes the behavior of a communication channel in response to an impulse signal. In signal processing,  an impulse signal has zero amplitude at all other times and amplitude  ∞ at time 0 for the signal. Using a Dirac Delta function, we can approximate this.  ...(i) δ( t) now has a very intriguing characteristic. The answer is 1 when the Fourier Transform of  δ( t) is calculated. As a result, all frequencies are responded to equally by  δ (t). This is crucial since we never know which frequencies a system will affect when examining an unidentified one. Since it can test the system for all freq

How to use MATLAB Simulink

  MATLAB Simulink is a popular add-on of MATLAB. Here, you can use different blocks like modulator, demodulator, AWGN channel, etc. And you can do experiments on your own.       Steps Go to the 'Simulink' tab at the top navbar of MATLAB. If not found, click on the add-on tab, search 'Simulink,' and then click on it to add. Once you installed the simulation, click the 'new' tap at the top left corner. Then, search the required blocks in the 'Simulink library.' Then, drag it to the editor space. You can double-click on the blocks to see the input parameters Then, connect the blocks by dragging a line from one block's output terminal to another block's input. If the connection is complete, click the 'run' tab in the middle of the top navbar.   After clicking on the run button, your Simulink is ready. Then double-click on any block to see the output   The following block diagram is an example of the MATLAB simulation of 'QPSK'
document.onmouseup=new Function ("return false"); }