MIMO MRC System - Maximum Ratio Combining Technique
MIMO MRC System - Maximum Ratio Combining with Implementation Insights
MRC Receiver with SIMO Implementation
This code implements a Maximum Ratio Combining (MRC) receiver for SIMO (Single Input Multiple Output) systems, featuring signal weighting and combination algorithms to enhance reception quality.
Simulation of Amplify-and-Forward Cooperative Communications
Simulation code for amplify-and-forward cooperative relaying: performance analysis of single/relay cooperation systems. Includes comprehensive analysis of 9 combining techniques such as MRC, Best-SC, EGC, GSC, and Nth SC, with implementation details for signal processing algorithms and diversity combining methods.
Bit Error Rate Performance in Rayleigh Fading Channel: MRC, EGC, Selection, Alamouti STBC, and Beamforming
Five MATLAB scripts analyzing Bit Error Rate (BER) performance in Rayleigh fading channels with different diversity techniques: Maximum Ratio Combining (MRC), Equal Gain Combining (EGC), Selection Combining, Alamouti Space-Time Block Coding (STBC), and Beamforming. Each script implements mathematical models and signal processing algorithms to evaluate communication system performance under various receiver configurations.
Spatial Modulation Technology Compared to V-BLAST with Implementation Insights
Spatial modulation technology demonstrates significant advancements over traditional methods like V-BLAST and MRC. This spatial modulation program achieves 4bit/s/Hz spectral efficiency using BPSK, 4QAM, and 8QAM modulation schemes, with implementation details on antenna selection algorithms and signal mapping techniques.
Spatial Modulation Technology
Spatial Modulation, emerging around 2008 as a prominent spatial modulation technique, demonstrates significant advancements compared to traditional methods like V-BLAST and MRC. This technique implements novel signal encoding strategies using antenna indexing to optimize transmission efficiency.
MATLAB Code for BER Performance Analysis of MRC, EGC, and SC with QPSK Modulation
This MATLAB code calculates and compares the Bit Error Rate (BER) performance of Maximum Ratio Combining (MRC), Equal Gain Combining (EGC), and Selection Combining (SC) diversity techniques using QPSK modulation, providing implementation details and algorithm explanations for wireless communication systems.
Basic Performance Analysis of DF (Decode-and-Forward) Cooperative Communications
This MATLAB program simulates the fundamental performance of cooperative communications using Decode-and-Forward (DF) protocol with an S-R-D three-node model, featuring Maximum Ratio Combining (MRC) at the receiver. Under fixed DF conditions, system performance is constrained by errors in the SR channel, preventing effective diversity gain at high SNR regimes. However, proximity between source and relay nodes may yield certain diversity advantages when the SR distance is sufficiently reduced.
Comparative Simulation Analysis of SM, V-BLAST, and MRC Systems
Simulation results for 6-bit transmission performance comparison among SM, V-BLAST, and MRC communication systems
BER Visualization for STBC System with MRC Receiver
BER Performance Analysis and Visualization for Space-Time Block Coding Systems with Maximum Ratio Combining Reception