Interference Cancellation Based on Adaptive Signal Processing for MIMO RF Repeaters 


Vol. 35,  No. 9, pp. 735-742, Sep.  2010


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  Abstract

In this paper, we propose adaptive algorithms for interference cancellation in RF repeaters with multiple transmit and receive antennas. When multiple antennas are used in a repeater, the imperfect isolation between transmit and receive antennas causes the feedback interference which is modeled as multi-input multi-output (MIMO) channel. To remove the feedback interference, we derive the least mean square (LMS) algorithm and the recursive least squares (RLS) algorithm for interference cancellation based on adaptive signal processing techniques. Through computer simulations for the proposed algorithms, we analyze the convergence characteristics and compare the steady-state performance for interference cancellation.

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  Cite this article

[IEEE Style]

K. B. Lee and J. Choi, "Interference Cancellation Based on Adaptive Signal Processing for MIMO RF Repeaters," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 9, pp. 735-742, 2010. DOI: .

[ACM Style]

Kyu Bum Lee and Jihoon Choi. 2010. Interference Cancellation Based on Adaptive Signal Processing for MIMO RF Repeaters. The Journal of Korean Institute of Communications and Information Sciences, 35, 9, (2010), 735-742. DOI: .

[KICS Style]

Kyu Bum Lee and Jihoon Choi, "Interference Cancellation Based on Adaptive Signal Processing for MIMO RF Repeaters," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 9, pp. 735-742, 9. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880