ZFBF - Multiuser MIMO Precoding Technique
ZFBF - Multiuser MIMO Precoding, a valuable resource for learning MIMO precoding techniques with practical code implementation insights
Explore MATLAB source code curated for "预编码" with clean implementations, documentation, and examples.
ZFBF - Multiuser MIMO Precoding, a valuable resource for learning MIMO precoding techniques with practical code implementation insights
Source code implementation of MIMO block diagonalization precoding technique combined with VBLAST technology, featuring algorithm optimization and performance enhancement approaches.
Implementation scenario combining MIMO block diagonalization precoding with VBLAST system architecture for 4-transmit 4-receive configuration, featuring code-level insights on precoding matrix computation and interference cancellation mechanisms.
Analysis of LTE PDSCH link-level simulation source code, including channel coding, precoding, and OFDM modulation implementations with algorithm explanations
In multiuser MIMO systems, SLNR-based precoding significantly improves system performance by simultaneously mitigating co-channel interference (CCI) and noise through optimized signal processing algorithms.
A simulation program for precoding based on channel quantization feedback, implementing uniform quantization and LDL decomposition-based precoding techniques to evaluate system bit error rate performance under different feedback bit conditions (1-bit, 2-bit, 3-bit).
MIMO OFDM precoding simulation program with spatial diversity and spectral efficiency optimization capabilities for MIMO system performance evaluation
Complete MATLAB program suite for GSM full rate speech burst transmitter implementation, featuring precoding, convolutional encoding, interleaving, and modulation modules with detailed technical documentation