An Adaptive Decision-Directed Equalizer using Iterative Hyperplane Projection for SIMO systems 


Vol. 30,  No. 1, pp. 82-91, Jan.  2005


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  Abstract

This paper introduces an efficient affine projection algorithm(APA) using iterative hyperplane projection. Among various fast converging adaptation algorithms. APA has been preferred to be employed for various applications due to its inherent effectiveness against the rank deficient problem However, the amount of complexity of the conventional APA could not be negligible because of the accomplishment of sample matrix inversion(SMI) Moreover, the "shifting invariance property" usually exploited in single channel case does not hold for the application of space-time decision-directed equalizer(STDE) deployed in single-input-multi-systems Thus, it is impossible to utiliZe the fast adaptation schemes such as fast transversal filter(FTF) having low-complexity. To accomplish such tasks, this paper introduces the low-complexity APA by employing hyperplane projection algorithm, which shows the excellent tracking capability as well as the fast convergence. In order to confirm th validity of the proposed method, its
performance is evaluated under wireless SIMO channel in respect to bit error rate(BER) behavior and computational complexity.

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  Cite this article

[IEEE Style]

W. Lee, "An Adaptive Decision-Directed Equalizer using Iterative Hyperplane Projection for SIMO systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 1, pp. 82-91, 2005. DOI: .

[ACM Style]

Won-Cheol Lee. 2005. An Adaptive Decision-Directed Equalizer using Iterative Hyperplane Projection for SIMO systems. The Journal of Korean Institute of Communications and Information Sciences, 30, 1, (2005), 82-91. DOI: .

[KICS Style]

Won-Cheol Lee, "An Adaptive Decision-Directed Equalizer using Iterative Hyperplane Projection for SIMO systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 1, pp. 82-91, 1. 2005.