A Detection Algorithm to Reduce the Condition Number of the Channel Matrix
- Authors
- Yang, Hyunwook; Lee, Gyuyoung; Choi, Seungwon
- Issue Date
- Feb-2015
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- condition number; projection; lattice reduction; Zero-Forcing
- Citation
- IEICE TRANSACTIONS ON COMMUNICATIONS, v.E98B, no.2, pp.280 - 287
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEICE TRANSACTIONS ON COMMUNICATIONS
- Volume
- E98B
- Number
- 2
- Start Page
- 280
- End Page
- 287
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157989
- DOI
- 10.1587/transcom.E98.B.280
- ISSN
- 0916-8516
- Abstract
- When Zero-Forcing (ZF) is adopted as a detector, decreasing the condition number of the channel matrix increases the BER performance. In this paper, we propose a new detection algorithm which reduces the condition number of channel matrix down to nearly 2 on average. Since the least singular value of the channel matrix is a major factor determining the condition number, we, first, project the received signal into a space spanned by singular vectors that are orthogonal to the one corresponding to the least singular value. Then, LR decomposition is performed to reduce further the condition number of the projected channel matrix. Computer simulations show that the performance of the proposed algorithm is comparable to that of the ML detector for both correlated and uncorrelated channels. And also the proposed algorithm provides an at least 2 dB improvement compared to the conventional LR-based Ordered Successive Interference Cancellation (LR-OSIC) detector with a Bit Error Rate (BER) of 10(-3) and a comparable computation load.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157989)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.