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

HomePage

 

(Search any topic)


Search any topic on the whole website
  1. Modulation
  2. Signal Processing
  3. Beamforming
  4. MATLAB
  5. 5G
  6. Wireless
  7. GATE-ESE-NET
  8. Programming
  9. Telecommunication
  10. Channel Impulse Response
  11. Computer Networks
  12. MIMO - Multiple Input Multiple Output
  13. Filters
  14. Millimeter wave
  15. Python 
  16. Constellation Diagrams
  17. BER vs SNR
  18. Electronics Industry
  19. Fourier Series and Fourier Transform
  20. Frequency bands
  21. Wireless Communication Q & A
  22. ASK FSK PSK
  23. Channel Model
  24. IoTs
  25. UWB
  26. pskmod
  27. Antenna
  28. Applications and Games
  29. C Programming
  30. Channel Estimation
  31. Equalizers
  32. Gaussian Random Variable
  33. Projects
  34. Q & A
  35. QAM
  36. Transform
  37. Fading
  38. Microwave
  39. News about 5G
  40. PAM
  41. Python Matrix Operations
  42. SSC Exam
  43. Web Design
  44. WordPress
  45. Ionospheric Communication
  46. JavaScript
  47. MATLAB Simulink
  48. Mobile & Accessories
  49. OFDM
  50. Signal Processing for 5G
  51. Analog Circuits
  52. Cell Towers
  53. Computer
  54. Digital Circuits
  55. Fourier Series
  56. HomePage
  57. Information and Coding Theory
  58. Laplace Transform
  59. MySQL
  60. Node.js
  61. Search
  62. ShareLinkF / Generate QR
  63. Z Transform

 

It's an Electronic Communication Systems-focused technical blog. In this blog, we'll discuss Electronic communication systems, Wireless Communication, Telecommunication, 2G, 3G, 4G, 5G [Read More], IoTs, MIMO, Beamforming, Millimeter wave, UWB, Microwave links, Wireless channels, Modulation techniques, GATE ESE, UGC-NET, Project / Thesis ideas [↗], Electronics industry, Programming, Web design, Short term courses, etc.



Ask your questions in the forum [↗]. We post articles about wireless communication technologies such as Wireless, 5G, UWB, Millimeter wave, Beamforming, IoTs, and MATLAB. Web design, WordPress, and other related topics are also significant components of our site.

 


Constellation Diagrams

Digital communication is complete with constellation diagrams. If you have a digital communication interview, the interviewer will ask you to draw a constellation diagram.

Ber vs. S.NR

The relationship between BER and SNR reveals how many transmitted bits from a communication system are corrupted. Did you know? Bit error rates for practical communication systems are close to 10-5 or better.




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

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,...

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...

Frequency Bands : EHF, SHF, UHF, VHF, HF, MF, LF, VLF and Their Uses

Frequency Bands EHF, SHF, UHF, VHF, HF, MF, LF... 1. Extremely High Frequency (EHF)30 - 300 GHz Uses 5G Networks 5G millimeter wave band , 6G and beyond (Experimental) RADAR, 2. Super High Frequency (SHF)3 - 30 GHz Uses Ultra-wideband (UWB , Airborne RADAR, Satellite Communication, Microwave Link Communication or SATCOM 3. Ultra High Frequency (UHF)300 - 3000 MHz Uses Satellite Communication, Television, surveillance, navigation aids Also, read important wireless communication terms 4. Very High Frequency (VHF)30 - 300 MHz Uses Television, FM broadcast, navigation aids, air traffic control, 5. High Frequency (HF)3 - 30 MHz Uses Telephone, Telegram and Facsimile, ship to coast, ship to aircraft communication, amateur radio, 6. Medium Frequency (MF)300 - 3000 KHz Uses coast guard communication, direction finding, AM broadcasting , maritime radio, 7. Low Frequency (LF)30 - 300 KHz Uses Radio beacons, Navigational Aids 8. Very Low Frequency (VLF)3 - 30 KHz...

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...

Difference between AWGN and Rayleigh Fading

Wireless Signal Processing Gaussian and Rayleigh Distribution Difference between AWGN and Rayleigh Fading 1. Introduction Rayleigh fading coefficients and AWGN, or additive white gaussian noise [↗] , are two distinct factors that affect a wireless communication channel. In mathematics, we can express it in that way.  Fig: Rayleigh Fading due to multi-paths Let's explore wireless communication under two common noise scenarios: AWGN (Additive White Gaussian Noise) and Rayleigh fading. y = h*x + n ... (i) Symbol '*' represents convolution. The transmitted signal  x  is multiplied by the channel coefficient or channel impulse response (h)  in the equation above, and the symbol  "n"  stands for the white Gaussian noise that is added to the signal through any type of channel (here, it is a wireless channel or wireless medium). Due to multi-paths the channel impulse response (h) changes. And multi-paths cause Rayleigh fa...

MATLAB Code for QAM (Quadrature Amplitude Modulation)

  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 modulation, signal set (or, symbols) is structured in a way that prevents them from interacting further by being distinct by phase, amplitude, or frequency. MATLAB Script (for 4-QAM) % This code is written by SalimWirelss.Com % This is an example of 4-QAM. Here constellation size is 4 % or total number of symbols/signals is 4 % We need 2 bits once to represent four constellation points % QAM modulation is the combination of Amplitude modulation plus % Phase Modulation. We map the decimal value of the input symbols, i.e., % 00, 01, 10, 11 to 1 + 1i, -1 + 1i, 1 - 1i, and -1 - 1i, respectively. cl...

UGC NET Electronic Science Previous Year Question Papers

Home / Engineering & Other Exams / UGC NET 2022: Previous Year Question Papers ...   NET | GATE | ESE | UGC-NET (Electronics Science, Subject code: 88 ) UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2024] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2024] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2023] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2023] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2022]  UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2022]   UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2021] UGC Net Electronic Science Questions With Answer Key Download Pdf [June 2020] UGC Net Electronic Science Questions With Answer Key Download Pdf [December 2019] UGC Net Electronic Science Questions With Answer...

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...