NDLI: High-throughput QR decomposition for MIMO detection in OFDM systems

Content Provider	IEEE Xplore Digital Library
Author	Zheng-Yu Huang Pei-Yun Tsai
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering, National Central University, Taoyuan, Taiwan (Zheng-Yu Huang; Pei-Yun Tsai)
Abstract	In this paper, we aim to design and implement a high-throughput QR decomposition architecture for 4 × 4 MIMO signal detection problems. A real-value decomposed MIMO system model is handled and thus the channel matrix to be processed is extended to the size 8×8. Instead of direct factorization, we propose a QR decomposition scheme by cascading one complex-value and one real-value Givens rotation blocks, which can save 44% hardware complexity. The systolic array is adopted for hardware implementation to facilitate pipeline design. Then, the requirement of skewed inputs to the conventional complex-value QR-decomposition systolic array is improved and 37% of delay elements are removed. The real-value Givens rotation stage is implemented by a stacked triangular systolic array to match with the throughput of the complex-value one. We have implemented the proposed design in 0.18 μm CMOS technology with 152K gates. From post-layout simulations, the maximum operating frequency can achieve 90.09MHz. The proposed scheme not only reduces the hardware complexity, but also supports high throughput for MIMO-OFDM signal detection up to 2.16 Gbps under stationary channels.
Starting Page	1492
Ending Page	1495
File Size	344629
Page Count	4
File Format	PDF
ISBN	9781424453085
DOI	10.1109/ISCAS.2010.5537358
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-30
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	MIMO OFDM Hardware Systolic arrays Signal detection Throughput CMOS technology Signal design Matrix decomposition Pipelines
Content Type	Text
Resource Type	Article

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