A Bidirectional Adaptive Detection for BLAST Systems Based on Deterministic Sampling

Author

Wang, Fan ; Xiong, Yong

Author_Institution

Electromagn. Acad., Zhejiang Univ., Hangzhou

Volume

2

fYear

2006

fDate

25-28 June 2006

Firstpage

921

Lastpage

924

Abstract

We consider a novel detection algorithm based on particle filtering algorithm for Bell Laboratory layered space time (BLAST) systems. Applying QR-decomposition of the channel matrix, a tree search method based on deterministic sampling can achieve the performance near optimal decoding when the number of searching paths is very large, which is computationally complex. In this paper, we provide a bidirectional adaptive algorithm (BIDAA), which can quickly approach the best path at low cost. Simulation results show that the new algorithm can greatly outperform MMSE-SIC detection

Keywords

adaptive decoding; adaptive signal detection; deterministic algorithms; interference suppression; least mean squares methods; matrix decomposition; particle filtering (numerical methods); signal sampling; space-time adaptive processing; tree searching; BIDAA; BLAST system; Bell Laboratory layered space time; MMSE-SIC detection; QR-decomposition; bidirectional adaptive detection algorithm; channel matrix; deterministic sampling; minimum mean square error method; optimal decoding; particle filtering algorithm; successive interference cancellation; tree search method; Constellation diagram; Detectors; Filtering algorithms; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Receiving antennas; Sampling methods; Search methods; Transmitting antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems Proceedings, 2006 International Conference on

Conference_Location

Guilin

Print_ISBN

0-7803-9584-0

Electronic_ISBN

0-7803-9585-9

Type

conf

DOI

10.1109/ICCCAS.2006.284801

Filename

4064042