For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Adaptive K-Best BFTS Signal Detection Algorithm Based on the Channel Condition for MIMO-OFDM Signal Detector
Jong-Kwang KIM Seung-Jin CHOI Jae-Hyun RO Hyoung-Kyu SONG
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2017/10/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Communication Theory and Signals
MIMO, OFDM, lattice reduction, BFTS, K-Best, channel condition, interference cancellation,
Full Text: PDF>>
The breadth-first tree searching (BFTS) detection algorithm such as the QR decomposition with M algorithm (QRD-M) which is the generally K-best detection algorithm is suboptimal, but has high complexity. In this letter, the K-best BFTS detection algorithm having reduced complexity is proposed. The proposed detection algorithm calculates the channel condition to decide the thresholds for regulating complexity and performance and from the simulation results, it has good error performance with very low complexity.