CDMA and MIMO Diversity Reception Technologies

Wireless communication CDMA and MIMO diversity reception technologies - covering 1 transmit 2 receive (SIMO), 2 transmit 1 receive (MISO), 1 transmit 1 receive (SISO), and 2 transmit 2 receive (MIMO) configurations

MIMO-OFDM System Simulation and Channel Estimation Algorithms

MIMO (Multiple-Input Multiple-Output) technology was first proposed by Marconi in 1908, utilizing multiple antennas to mitigate channel fading. Based on the number of antennas at both transmitter and receiver ends, MIMO systems can be categorized into SIMO (Single-Input Multiple-Output) and MISO (Multiple-Input Single-Output) systems, in contrast to conventional SISO (Single-Input Single-Output) systems. The implementation typically involves spatial multiplexing algorithms and channel state information processing, where channel capacity increases linearly with the number of antennas. This linear relationship can be demonstrated through capacity calculation algorithms using singular value decomposition (SVD) of channel matrices.

QR Decomposition-Based Breadth-First Sphere Decoding (K-Best Algorithm)

Breadth-first sphere decoding based on QR decomposition, commonly known as the K-best algorithm, is designed for signal detection at the receiver end in MIMO technology. This approach employs matrix factorization and candidate selection to enhance decoding efficiency.

Basic MIMO Technology Program Package

A fundamental MIMO technology program package containing four subprograms: SISO, SIMO, SIDO, and MIMO (V-BLAST), providing ideal progression materials for MIMO beginners with practical implementation examples