Detection with particle filtering in BLAST systems

This work demonstrates the use of particle filtering for detection in BLAST systems. A novel dynamic state-space model (DSSM) is constructed for BLAST systems that are crucial for development of particle filtering algorithms. The proposed DSSM is based on QR decomposition and the output of the feedforward filter, and it evolves in space. The particle filtering solution does not suffer from error propagation, and our simulation show that it greatly outperforms the V-BLAST and provides near optimum performance.