Generalized feedback detection for spatial multiplexing multi-antenna systems
- Creators
- Cui, Tao
- Tellambura, Chintha
Abstract
We present a unified detection framework for spatial multiplexing multiple-input multiple-output (MIMO) systems by generalizing Heller's classical feedback decoding algorithm for convolutional codes. The resulting generalized feedback detector (GFD) is characterized by three parameters: window size, step size and branch factor. Many existing MIMO detectors are turned out to be special cases of the GFD. Moreover, different parameter choices can provide various performance-complexity tradeoffs. The connection between MIMO detectors and tree search algorithms is also established. To reduce redundant computations in the GFD, a shared computation technique is proposed by using a tree data structure. Using a union bound based analysis of the symbol error rates, the diversity order and signal-to-noise ratio (SNR) gain are derived analytically as functions of the three parameters; for example, the diversity order of the GFD varies between 1 and N. The complexity of the GFD varies between those of the maximum-likelihood (ML) detector and the zero-forcing decision feedback detector (ZFDFD). Extensive computer simulation results are also provided.
Additional Information
© Copyright 2008 IEEE. Reprinted with permission. Manuscript received July 26, 2006; revised June 15, 2007 and November 8, 2007; accepted November 9, 2007. [Posted online: 2008-02-15] The associate editor coordinating the review of this paper and approving it for publication was J. Andrews. This work has been supported in part by the Natural Sciences and Engineering Research Council of Canada, Informatics Circle of Research Excellence and Alberta Ingenuity Fund. This paper was presented in part at the IEEE Global Telecommunications Conference 2005, Nov. 2005, St. Louis, MO USA. The authors wish to thank the anonymous reviewers for their careful reading of the manuscript and critical comments, which greatly improved this paper.Files
| Name | Size | Download all |
|---|---|---|
|
md5:8b5badc7a29bd9358e60e8280d85652f
|
282.7 kB | Preview Download |
Additional details
- Eprint ID
- 9722
- Resolver ID
- CaltechAUTHORS:CUIieeetwc08
- Created
-
2008-03-10Created from EPrint's datestamp field
- Updated
-
2021-11-08Created from EPrint's last_modified field