Pattern characteristics of linear arrays using the constrained least squares distribution

Kathleen L. Melde; Mark L. Taylor

doi:10.1109/TAP.2003.811093

Pattern characteristics of linear arrays using the constrained least squares distribution

Kathleen L. Melde, Mark L. Taylor

Electrical and Computer Engineering

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

5 Scopus citations

Abstract

The constrained least squares (CLS) distribution is a method for obtaining distribution functions that yield low sidelobe patterns with specified constraints on the aperture efficiency, and are especially useful for the transmit patterns of active array antennas. The widely used Taylor distribution optimizes only pattern performance while the CLS distribution optimizes pattern performance while taking into account the constraints on both the peak element amplitude and the total effective radiated voltage (ERV) of the aperture distribution. This paper compares the pattern characteristics of linear arrays with CLS and Taylor distributions. The results help to establish guidelines on when a CLS distribution would be preferable over a Taylor distribution when a specified aperture efficiency is important.

Original language	English (US)
Pages (from-to)	772-775
Number of pages	4
Journal	IEEE Transactions on Antennas and Propagation
Volume	51
Issue number	4
DOIs	https://doi.org/10.1109/TAP.2003.811093
State	Published - Apr 2003

Keywords

Active array antennas
Antenna array pattern synthesis
Phased array antennas

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TAP.2003.811093

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title = "Pattern characteristics of linear arrays using the constrained least squares distribution",

abstract = "The constrained least squares (CLS) distribution is a method for obtaining distribution functions that yield low sidelobe patterns with specified constraints on the aperture efficiency, and are especially useful for the transmit patterns of active array antennas. The widely used Taylor distribution optimizes only pattern performance while the CLS distribution optimizes pattern performance while taking into account the constraints on both the peak element amplitude and the total effective radiated voltage (ERV) of the aperture distribution. This paper compares the pattern characteristics of linear arrays with CLS and Taylor distributions. The results help to establish guidelines on when a CLS distribution would be preferable over a Taylor distribution when a specified aperture efficiency is important.",

keywords = "Active array antennas, Antenna array pattern synthesis, Phased array antennas",

author = "Melde, {Kathleen L.} and Taylor, {Mark L.}",

note = "Funding Information: Manuscript received July 18, 2001; revised March 26, 2002. This work was supported in part by the National Science Foundation under Wireless Initiative Grant CCR-9979310 and NSF Grant ECS-0098547. The work of M. L. Taylor was supported in part by a Raytheon Systems Master{\textquoteright}s Fellowship. The authors are with the Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721 USA. Digital Object Identifier 10.1109/TAP.2003.811093",

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AU - Taylor, Mark L.

N1 - Funding Information: Manuscript received July 18, 2001; revised March 26, 2002. This work was supported in part by the National Science Foundation under Wireless Initiative Grant CCR-9979310 and NSF Grant ECS-0098547. The work of M. L. Taylor was supported in part by a Raytheon Systems Master’s Fellowship. The authors are with the Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721 USA. Digital Object Identifier 10.1109/TAP.2003.811093

PY - 2003/4

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N2 - The constrained least squares (CLS) distribution is a method for obtaining distribution functions that yield low sidelobe patterns with specified constraints on the aperture efficiency, and are especially useful for the transmit patterns of active array antennas. The widely used Taylor distribution optimizes only pattern performance while the CLS distribution optimizes pattern performance while taking into account the constraints on both the peak element amplitude and the total effective radiated voltage (ERV) of the aperture distribution. This paper compares the pattern characteristics of linear arrays with CLS and Taylor distributions. The results help to establish guidelines on when a CLS distribution would be preferable over a Taylor distribution when a specified aperture efficiency is important.

AB - The constrained least squares (CLS) distribution is a method for obtaining distribution functions that yield low sidelobe patterns with specified constraints on the aperture efficiency, and are especially useful for the transmit patterns of active array antennas. The widely used Taylor distribution optimizes only pattern performance while the CLS distribution optimizes pattern performance while taking into account the constraints on both the peak element amplitude and the total effective radiated voltage (ERV) of the aperture distribution. This paper compares the pattern characteristics of linear arrays with CLS and Taylor distributions. The results help to establish guidelines on when a CLS distribution would be preferable over a Taylor distribution when a specified aperture efficiency is important.

KW - Active array antennas

KW - Antenna array pattern synthesis

KW - Phased array antennas

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Pattern characteristics of linear arrays using the constrained least squares distribution

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Keywords

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