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

Antenna Gain-Combining Methods - EGC, MRC, SC, and RMSGC


 There are different antenna gain-combining methods. They are as follows.


1. Equal gain combining (EGC)

2. Maximum ratio combining (MRC)

3. Selective combining (SC)

4. Root mean square gain combining (RMSGC)


1. Equal gain combining method

We add the correlated data streams from different antennas in the equal gain combining method. Then we multiply the resultant data with (1/(number of antennas))

For example, for two antenna gain-combining 

If the received symbols are y1 and y2, then 

Equal combing gain,

y_egc = 0.5 * (y1 + y2)


2. Maximum ratio combining method

We multiply the individual data streams with weights in the maximum ratio combining method. More weightage is multiplied by those data streams with maximum {|h|^2}, where h denotes the channel impulse response. And less weightage is multiplied by those data streams with corresponding small value of {|h|^2}. Then we sum the data streams to improve SNR.

In the case of Maximum Ratio Combining, if y1 and y2 are received symbols, then. 

y_mrc = a1 * y1 + a2*y2

Where a1 = magnitude of the channel impulse response of y1 and a2 is the magnitude of the channel impulse response of another channel. 

3. Selective combining method

In the selective combing method, we select a few data streamwise with higher SNR values than others. Then we combine them.


3. Root mean square gain combining method. We first take the square of individual data stream in the root mean square combining method. Then we sum them. And finally, we take the square root values of the composite data streams. This method shows the near-optimal performance as the maximum ratio combining, as some researcher claims.

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...

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...

Raised Cosine Filter in MATLAB

  MATLAB Code clc; clear all; close all; Data_sym = [0 1 1 0 1 0 0 1]; M = 4; Phase = 0; Sampling_rate = 48e3; Data_Rate = 100; Bandwidth = 400; Upsampling_factor = Sampling_rate/Data_Rate; Rolloff = 0.4; Upsampled_Data = upsample(pskmod(Data_sym,M,Phase),Upsampling_factor); Pulse_shape = firrcos(2*Upsampling_factor,Bandwidth/2,Rolloff,Sampling_rate,'rolloff','sqrt'); Output What if we change the roll-off roll-off = 0.01 roll-off = 0.99 What if we change the bandwidth Bandwidth = 100 Hz     Bandwidth = 1000 Hz    What if we change the sampling rate  Sampling rate = 10 KHz  Sampling rate = 100 KHz Another MATLAB Code % The code is developed by SalimWireless.Com clc; clear; close all; % Parameters fs = 1000; % Sampling frequency in Hz symbolRate = 100; % Symbol rate (baud) span = 6; % Filter span in symbols alpha = 0.25; % Roll-off factor for raised cosine filter % Generate random data symbols numSymbols = 100; % Number of symbols data = randi([0 1], num...

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...

Calculation of SNR from FFT bins

  Here, you can find the SNR of a received signal from periodogram / FFT bins using the Kaiser operator. The beta (β) parameter characterizes the Kaiser window, which controls the trade-off between the main lobe width and the side lobe level in the frequency domain. For that you should know the sampling rate of the signal.  The Kaiser window is a type of window function commonly used in signal processing, particularly for designing finite impulse response (FIR) filters and performing spectral analysis. It is a general-purpose window that allows for control over the trade-off between the main lobe width (frequency resolution) and side lobe levels (suppression of spectral leakage). The Kaiser window is defined using a modified Bessel function of the first kind.    Steps Set up the sampling rate and time vector Compute the FFT and periodogram Plot the periodogram using FFT Specify parameters for Kaiser window and periodogram Calculate the frequency resolution and signal...