OFDM Channel Estimation Using Comb-Type Pilots
MATLAB simulation program for OFDM channel estimation employing comb-type pilot sequences with linear interpolation algorithm implementation.
MATLAB Implementation of Least Squares for OFDM Channel Estimation
MATLAB code for OFDM channel estimation using least squares method with minimum mean square error optimization
MATLAB Simulation Source Code for OFDM Channel Estimation Based on Comb-Type Pilots
MATLAB simulation source code implementing OFDM channel estimation using comb-type pilot arrangement
Convex Optimization-Based OFDM Channel Estimation Algorithm
This program implements an OFDM channel estimation algorithm utilizing convex optimization principles. The Smooth SLO (Sparse Linear Optimization) algorithm serves as an iterative solver for sparse linear systems, which we adapt for OFDM channel estimation to achieve superior signal estimation accuracy and computational efficiency. The implementation includes optimized matrix operations and thresholding techniques for sparse recovery.
OFDM Channel Estimation
Copyright (c) 2018, Shujaat Khan All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. This software focuses on implementing OFDM channel estimation algorithms including techniques like LS (Least Squares) and MMSE (Minimum Mean Square Error) estimation methods for wireless communication systems.