DocumentCode
774177
Title
Relaxed
-Best MIMO Signal Detector Design and VLSI Implementation
Author
Chen, Sizhong ; Zhang, Tong ; Xin, Yan
Author_Institution
Electr. & Comput. Sci. Eng. Dept., Rensselaer Polytech. Inst., Troy, NY
Volume
15
Issue
3
fYear
2007
fDate
3/1/2007 12:00:00 AM
Firstpage
328
Lastpage
337
Abstract
Signal detector is a key element in a multiple-input multiple-output (MIMO) wireless communication receiver. It has been well demonstrated that nonlinear tree search MIMO detectors can achieve near-optimum detection performance, nevertheless their efficient high-speed VLSI implementations are not trivial. For example, the hardware design of hard- or soft- output detectors for a 4 times 4 MIMO system with 64 quadrature amplitude modulation (QAM) still remains missing in the open literature. As an attempt to tackle this challenge, this paper presents an implementation-oriented breadth-first tree search MIMO detector design solution. The key is to appropriately modify the conventional breadth-first tree search detection algorithm in order to largely improve the suitability for efficient hardware implementation, while maintaining good detection performance. To demonstrate the effectiveness of the proposed design solution, using 0.13-mum CMOS standard cell and memory libraries, we designed a soft-output signal detector for 4 times 4 MIMO with 64-QAM. With the silicon area of about 31 mm2, the detector can achieve above 100 Mb/s and realize the performance very close to that of the sphere decoding algorithm
Keywords
CMOS integrated circuits; MIMO communication; VLSI; quadrature amplitude modulation; receivers; signal detection; tree searching; 0.13 micron; CMOS standard cell; VLSI; multiple-input multiple-output systems; quadrature amplitude modulation; signal detectors; tree searching; wireless communication receiver; Detection algorithms; Detectors; Hardware; Libraries; MIMO; Quadrature amplitude modulation; Signal design; Signal detection; Very large scale integration; Wireless communication; Detection; VLSI; maximum likelihood (ML); multiple-input multiple-output (MIMO) systems; spatial multiplexing;
fLanguage
English
Journal_Title
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-8210
Type
jour
DOI
10.1109/TVLSI.2007.893621
Filename
4154776
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