Adaptive Power and Bit Allocation Algorithm for OFDM Systems
Implementation of adaptive power and bit allocation algorithm for OFDM systems, enabling dynamic resource allocation with practical code considerations
MATLAB Simulation of Key Channel Estimation Techniques in OFDM Systems
This MATLAB simulation program focuses on key channel estimation techniques for OFDM systems, specifically implementing block-type pilot-based channel estimation algorithms including LS (Least Squares) and LMMSE (Linear Minimum Mean Square Error) estimation methods with detailed code implementation and performance analysis.
STBC Encoding in OFDM Systems with MATLAB Implementation
MATLAB implementation of STBC (Space-Time Block Code) encoding in OFDM systems using QPSK modulation, featuring parameter configuration, data sequence generation, and multi-carrier transmission.
Detailed Simulation of OFDM System with BER Analysis and Signal Evaluation
Comprehensive OFDM system simulation featuring bit error rate calculation, input-output signal spectrum comparison, constellation diagram analysis, and implementation of key communication algorithms.
Channel Estimation Techniques for OFDM Systems
This code implementation demonstrates key channel estimation methods for OFDM systems, including Least Squares (LS), Linear Minimum Mean Square Error (LMMSE), and Low-Rank Minimum Mean Square Error approaches. The implementation features working MATLAB code with comprehensive algorithm explanations, suitable for beginners learning wireless communication systems. Download available for hands-on practice.
MATLAB Simulink Simulation Block Diagram for OFDM Systems
MATLAB Simulink simulation block diagram for OFDM systems with configurable parameters supporting various simulation scenarios.
OFDM System Transmission Implementation
OFDM system transmission simulation through multipath fading channel with Jakes model implementation. Time dispersion coefficients are configurable as [0.9, 0.8, ...] for channel customization. Features complete transmit-receive chain with signal detection.
Performance Analysis of Space-Frequency Block Codes in OFDM Systems under Imperfect Channel Estimation
Analysis of space-frequency block code performance in OFDM systems with imperfect channel estimation, including algorithm implementation considerations and key MATLAB functions for simulation.
A Transform-Domain Estimation Algorithm for OFDM Systems
This code implements a transform-domain estimation algorithm for OFDM systems, featuring comprehensive OFDM system simulation along with enhanced channel estimation algorithms. The implementation includes LS, MMSE, LMMSE, DFT, and an improved DCT-based algorithm with detailed MATLAB simulations demonstrating performance comparisons.
Time-Frequency Localization Analysis of Filter Banks
Application Background In analyzing filter bank-based OFDM systems, comprehensive time-frequency characterization of filter banks is essential, which requires specialized analysis programs. Common filters like Gaussian, IOTA, and EGF are frequently studied through comparative analysis with rectangular window functions in CP-OFDM systems. Key code implementations involve calculating time-frequency localization metrics and visualizing filter responses using MATLAB's signal processing toolbox. Key Technology From anti-ISI and anti-ICI perspectives, optimal energy concentration near time-frequency lattice points with minimal energy dispersion to adjacent lattices is desired. Time-Frequency Localization (TFL) serves as the primary metric for this characteristic. Algorithmically, TFL quantifies cross-correlation between filters through functions (instantaneous correlation/ambiguity/interference functions) and parameters (Heisenberg parameters/direction parameters). Python/Matlab implementations typically employ windowing techniques and Fourier transform operations for TFL computation.