The MMSE algorithm and mutual coupling for adaptive arrays

Zhiyong Huang; Constantine Balanis

doi:10.1109/TAP.2008.922619

The MMSE algorithm and mutual coupling for adaptive arrays

Zhiyong Huang, Constantine Balanis

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

In this paper, the minimum-mean-square-error (MMSE) in a mutual coupling (MC) environment is derived. The MMSE is slightly degraded by MC with receiver noise but it is not affected with environmental noise. Analysis also shows that data domain MC compensation cannot improve the minimum MSE even if the estimate of MC is accurate. The simulations also show that MC slows down the convergence of the least mean square algorithm.

Original language	English (US)
Pages (from-to)	1292-1296
Number of pages	5
Journal	IEEE Transactions on Antennas and Propagation
Volume	56
Issue number	5
DOIs	https://doi.org/10.1109/TAP.2008.922619
State	Published - May 2008

Keywords

Beamforming
Minimum-mean-square-error (MMSE)
Mutual coupling (MC)

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TAP.2008.922619

Cite this

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abstract = "In this paper, the minimum-mean-square-error (MMSE) in a mutual coupling (MC) environment is derived. The MMSE is slightly degraded by MC with receiver noise but it is not affected with environmental noise. Analysis also shows that data domain MC compensation cannot improve the minimum MSE even if the estimate of MC is accurate. The simulations also show that MC slows down the convergence of the least mean square algorithm.",

keywords = "Beamforming, Minimum-mean-square-error (MMSE), Mutual coupling (MC)",

author = "Zhiyong Huang and Constantine Balanis",

note = "Funding Information: Manuscript received April 5, 2007; revised October 15, 2007. This work was supported by the National Science Foundation under Grant 0355255. The authors are with the Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287-5706 USA (e-mail: zhiyong.huang@asu.edu; balanis@asu.edu). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TAP.2008.922619",

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N2 - In this paper, the minimum-mean-square-error (MMSE) in a mutual coupling (MC) environment is derived. The MMSE is slightly degraded by MC with receiver noise but it is not affected with environmental noise. Analysis also shows that data domain MC compensation cannot improve the minimum MSE even if the estimate of MC is accurate. The simulations also show that MC slows down the convergence of the least mean square algorithm.

AB - In this paper, the minimum-mean-square-error (MMSE) in a mutual coupling (MC) environment is derived. The MMSE is slightly degraded by MC with receiver noise but it is not affected with environmental noise. Analysis also shows that data domain MC compensation cannot improve the minimum MSE even if the estimate of MC is accurate. The simulations also show that MC slows down the convergence of the least mean square algorithm.

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The MMSE algorithm and mutual coupling for adaptive arrays

Abstract

Keywords

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