Explore MATLAB source code curated for "v_blast" with clean implementations, documentation, and examples.
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.
Performance comparison of MIMO multi-antenna transceiver techniques (BER curves) including MMRC, EGC, SC, Alamouti, and V-BLAST over both correlated and uncorrelated Rayleigh fading channels. Simulation results available by executing plot-named files, featuring MATLAB implementations with key functions for channel modeling and diversity combining algorithms.
This program simulates the V-BLAST system and its detection algorithms, supporting BPSK, QPSK, 16QAM, and 64QAM modulation schemes. The implemented detection algorithms include ML (Maximum Likelihood), MMSE (Minimum Mean Square Error), ZF (Zero Forcing), and SIC-ZF (Successive Interference Cancellation with Zero Forcing).
This program simulates V-BLAST detection algorithms for a 4-transmit 4-receive MIMO system. The implementation features QPSK modulation, quasi-static Rayleigh flat fading channels, and additive white Gaussian noise with zero mean. Four detection schemes (ZF, MMSE, ZF-OSIC, MMSE-OSIC) are compared through bit error rate performance analysis, with code-level descriptions of algorithm implementations.
This program provides implementations of V-BLAST MIMO system detection algorithms supporting various modulation schemes, including Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), Maximum Likelihood (ML), and Serial Interference Cancellation (SIC) detection algorithms. Excellent resource for beginners with comprehensive code examples and detailed documentation.