Far-field pattern reconstruction using an iterative Hilbert transform

Fan Fan; Tapan K. Sarkar; Changwoo Park; Jinhwan Koh

doi:10.1587/transcom.E98.B.1032

Far-field pattern reconstruction using an iterative Hilbert transform

Fan Fan, Tapan K. Sarkar, Changwoo Park, Jinhwan Koh

Department of Electrical Engineering & Computer Science

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

1 Scopus citations

Abstract

A new approach to reconstructing antenna far-field patterns from the missing part of the pattern is presented in this paper. The antenna far-field pattern can be reconstructed by utilizing the iterative Hilbert transform, which is based on the relationship between the real and imaginary part of the Hilbert transform. A moving average filter is used to reduce the errors in the restored signal as well as the computation load. Under the constraint of the causality of the current source in space, we could successfully reconstruct the data. Several examples dealing with line source antennas and antenna arrays are simulated to illustrate the applicability of this approach.

Original language	English (US)
Pages (from-to)	1032-1039
Number of pages	8
Journal	IEICE Transactions on Communications
Volume	E98B
Issue number	6
DOIs	https://doi.org/10.1587/transcom.E98.B.1032
State	Published - Jun 1 2015

Keywords

Antenna pattern
Causality in the spatial domain
Data interpolation
Iterative Hilbert transform
Pattern reconstruction

ASJC Scopus subject areas

Software
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1587/transcom.E98.B.1032

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title = "Far-field pattern reconstruction using an iterative Hilbert transform",

abstract = "A new approach to reconstructing antenna far-field patterns from the missing part of the pattern is presented in this paper. The antenna far-field pattern can be reconstructed by utilizing the iterative Hilbert transform, which is based on the relationship between the real and imaginary part of the Hilbert transform. A moving average filter is used to reduce the errors in the restored signal as well as the computation load. Under the constraint of the causality of the current source in space, we could successfully reconstruct the data. Several examples dealing with line source antennas and antenna arrays are simulated to illustrate the applicability of this approach.",

keywords = "Antenna pattern, Causality in the spatial domain, Data interpolation, Iterative Hilbert transform, Pattern reconstruction",

author = "Fan Fan and Sarkar, {Tapan K.} and Changwoo Park and Jinhwan Koh",

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AU - Fan, Fan

AU - Sarkar, Tapan K.

AU - Park, Changwoo

AU - Koh, Jinhwan

PY - 2015/6/1

Y1 - 2015/6/1

N2 - A new approach to reconstructing antenna far-field patterns from the missing part of the pattern is presented in this paper. The antenna far-field pattern can be reconstructed by utilizing the iterative Hilbert transform, which is based on the relationship between the real and imaginary part of the Hilbert transform. A moving average filter is used to reduce the errors in the restored signal as well as the computation load. Under the constraint of the causality of the current source in space, we could successfully reconstruct the data. Several examples dealing with line source antennas and antenna arrays are simulated to illustrate the applicability of this approach.

AB - A new approach to reconstructing antenna far-field patterns from the missing part of the pattern is presented in this paper. The antenna far-field pattern can be reconstructed by utilizing the iterative Hilbert transform, which is based on the relationship between the real and imaginary part of the Hilbert transform. A moving average filter is used to reduce the errors in the restored signal as well as the computation load. Under the constraint of the causality of the current source in space, we could successfully reconstruct the data. Several examples dealing with line source antennas and antenna arrays are simulated to illustrate the applicability of this approach.

KW - Antenna pattern

KW - Causality in the spatial domain

KW - Data interpolation

KW - Iterative Hilbert transform

KW - Pattern reconstruction

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Far-field pattern reconstruction using an iterative Hilbert transform

Abstract

Keywords

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