OFDM Resources

Showing items tagged with "OFDM"

Simulation of OFDM signals in a multi-antenna environment. The program is configured with a 2x2 antenna setup (modifiable by users) and employs Rayleigh fading channel modeling. The simulation compares system bit error rates with and without channel estimation through graphical results. The code is executable and demonstrates practical implementation of MIMO-OFDM signal processing techniques.

MATLAB 257 views Tagged

This code implements research on channel estimation techniques within MIMO-OFDM systems. MIMO and OFDM serve as core technologies for 4G communications, making their combined estimation algorithms a current research hotspot. The implementation includes several key estimation algorithms with direct simulation capabilities for performance evaluation and result visualization.

MATLAB 324 views Tagged

MATLAB implementation of Genetic Algorithm-based adaptive resource allocation for OFDM systems. The OFDM adaptive resource allocation problem (including carrier and power allocation) represents a nonlinear optimization model containing both discrete and continuous decision variables with complex nonlinear constraints, making it suitable for intelligent optimization algorithms. The implementation utilizes genetic operations like selection, crossover, and mutation to evolve solutions toward optimal resource distribution.

MATLAB 226 views Tagged

This repository provides a reference implementation of OFDM (Orthogonal Frequency Division Multiplexing) under the IEEE 802.11 protocol standard, featuring detailed code-level insights into modulation/demodulation techniques and frame structure handling.

MATLAB 191 views Tagged

This project implements Binary Phase Shift Keying (BPSK) modulation with Bit Error Rate (BER) analysis, comparing performance with and without Orthogonal Frequency Division Multiplexing (OFDM) implementation. The MATLAB-based simulation demonstrates how OFDM reduces BER through parallel subcarrier transmission and cyclic prefix implementation to combat multipath interference. Developed as a course project under Dr. Dayalan Kasilingam's guidance, this work includes comprehensive modulation schemes, channel modeling, and error rate calculation algorithms.

MATLAB 226 views Tagged