Fast Polygon and Rectangle Detection Algorithm
A rapid polygon and rectangle detection algorithm with broad applications in various object recognition domains, featuring optimized computational efficiency and implementation details
Simulation of V-BLAST System and Its Detection 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).
MIMO VBLAST Detection Simulation with Multiple Algorithms
This program simulates V-BLAST systems and their detection algorithms, supporting BPSK, QPSK, 16QAM, and 64QAM modulation schemes. The implementation includes ML (Maximum Likelihood), MMSE (Minimum Mean Square Error), ZF (Zero Forcing), and ZF-based Successive Interference Cancellation detection algorithms with detailed performance analysis capabilities.
Three Common Detection Algorithms for Layered Space-Time Coding
Layered space-time codes employ three widely-used detection algorithms: Maximum Likelihood (ML) detection, Zero Forcing (ZF) detection, and Minimum Mean Squared Error (MMSE) detection. Each algorithm involves distinct computational approaches, including exhaustive search techniques, matrix inversion operations, and statistical noise compensation methods.
Simulation of V-BLAST Detection Algorithm for 4x4 MIMO Systems
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.
Detection Algorithm for PSS Codes
Implementation of PSS Detection Algorithm for TDD-LTE with MATLAB Simulation
V-BLAST MIMO System Detection Algorithms Implementation
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.
MATLAB Channel Simulation of Preamble Sequence Detection Algorithm for TD-LTE Random Access Procedure
MATLAB-based channel simulation for preamble sequence detection algorithms in TD-LTE random access processes, including performance analysis of detection methods and implementation approaches
MIMO Signal Detection
Application Context: The effective utilization of MIMO technology relies on rapid and accurate signal detection techniques at the receiver end, requiring detection algorithms with both low complexity and high performance. Providing MATLAB implementations of signal detection algorithms is essential. Key Technologies: Multiple detection algorithms are implemented including Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), ordered MMSE detection, corresponding MMSE soft detection, Sphere Decoding (SD), soft/hard QRD-MLD algorithms, and Maximum Likelihood Detection (MLD). These algorithms enable performance comparison under 256QAM high-order modulation, providing valuable references for engineering implementation.
MIMO-MC-CDMA System Uplink: Single-User vs Multi-User Detection Algorithm Comparison
Comparative analysis of different detection algorithms for single-user and multi-user scenarios in MIMO-MC-CDMA system uplink, including implementation approaches and performance evaluation metrics