Sorted Chase Detection Algorithm for MIMO System

Article Preview

Abstract:

In multiple-input multiple-output wireless communication system, the order of symbol detection in Chase framework is critical because of error propagation. In order to improve chase detector’s performance, sorted chase detection algortihm to reduce error propagation is proposed here. By setting parameters at different values, trade-off between performance and complexity can be obtained properly. Simulation experiment results show the validity of proposed algorithm.

You have full access to the following eBook

Info:

[1] E. Telatar, Capacity of multi-antenna Gaussian channel. Europe. Trans. Tele., 10(11) (1999) 585-595.

DOI: 10.1002/ett.4460100604

Google Scholar

[2] C. E. Chen, W. H. Sheen, A new Lattice Reduction Algorithm for LR-Aided MIMO Linear Detection, IEEE Trans. on Wirel. Commun. 10 (2011) 2417.

DOI: 10.1109/twc.2011.061311.101297

Google Scholar

[3] R. Y. Chang, W. H. Chung, Best-First Tree Search with Probabilistic Node Ordering for MIMO Detection: Generalization and Performance-Complexity Tradeoff, IEEE Trans. Wirel. Comm. 11 (2012) 780-789.

DOI: 10.1109/twc.2011.121911.110568

Google Scholar

[4] P. W. Wolniansky, G. J. Foschini, G. D. Golden, R. A. Valenzuela, V-BLAST: An Architecture for Realizing Very High Data Rates Over the Rich-Scattering Wireless Channel, ISSSE. 295-300. (1998).

DOI: 10.1109/issse.1998.738086

Google Scholar

[5] W. Waters, and J.R. Barry, The Chase Family of Detection Algorithm for Multiple-Input Multiple-Output Channel. IEEE Trans. on Signal Processing, 56 (2008) 739-747.

DOI: 10.1109/tsp.2007.907904

Google Scholar