Performance Analysis of Lateral Velocity Estimation Based on Fractional Fourier Transform

Yechao BAI; Xinggan ZHANG; Lan TANG; Yao WEI

doi:10.1587/transcom.E95.B.2174

Performance Analysis of Lateral Velocity Estimation Based on Fractional Fourier Transform

Yechao BAI, Xinggan ZHANG, Lan TANG, Yao WEI

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The lateral velocity is of importance in cases like target identification and traffic management. Conventional Doppler methods are not capable of measuring lateral velocities since they quantify only the radial component. Based on the spectrogram characteristic of laterally moving targets, an algorithm based on fractional Fourier transform has been studied in the signal processing literature. The algorithm searches the peak position of the transformation, and calculates the lateral velocity from the peak position. The performance analysis of this algorithm is carried out in this paper, which shows that this algorithm approaches Cramer-Rao bound with reasonable computational complexity. Simulations are conducted at last to compare the analytical performance and the experimental result.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.6 pp.2174-2178

Publication Date: 2012/06/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.2174

Type of Manuscript: LETTER

Category: Sensing

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Yechao BAI, Xinggan ZHANG, Lan TANG, Yao WEI, "Performance Analysis of Lateral Velocity Estimation Based on Fractional Fourier Transform" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 6, pp. 2174-2178, June 2012, doi: 10.1587/transcom.E95.B.2174.
Abstract: The lateral velocity is of importance in cases like target identification and traffic management. Conventional Doppler methods are not capable of measuring lateral velocities since they quantify only the radial component. Based on the spectrogram characteristic of laterally moving targets, an algorithm based on fractional Fourier transform has been studied in the signal processing literature. The algorithm searches the peak position of the transformation, and calculates the lateral velocity from the peak position. The performance analysis of this algorithm is carried out in this paper, which shows that this algorithm approaches Cramer-Rao bound with reasonable computational complexity. Simulations are conducted at last to compare the analytical performance and the experimental result.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.2174/_p

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@ARTICLE{e95-b_6_2174,
author={Yechao BAI, Xinggan ZHANG, Lan TANG, Yao WEI, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Analysis of Lateral Velocity Estimation Based on Fractional Fourier Transform},
year={2012},
volume={E95-B},
number={6},
pages={2174-2178},
abstract={The lateral velocity is of importance in cases like target identification and traffic management. Conventional Doppler methods are not capable of measuring lateral velocities since they quantify only the radial component. Based on the spectrogram characteristic of laterally moving targets, an algorithm based on fractional Fourier transform has been studied in the signal processing literature. The algorithm searches the peak position of the transformation, and calculates the lateral velocity from the peak position. The performance analysis of this algorithm is carried out in this paper, which shows that this algorithm approaches Cramer-Rao bound with reasonable computational complexity. Simulations are conducted at last to compare the analytical performance and the experimental result.},
keywords={},
doi={10.1587/transcom.E95.B.2174},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Performance Analysis of Lateral Velocity Estimation Based on Fractional Fourier Transform
T2 - IEICE TRANSACTIONS on Communications
SP - 2174
EP - 2178
AU - Yechao BAI
AU - Xinggan ZHANG
AU - Lan TANG
AU - Yao WEI
PY - 2012
DO - 10.1587/transcom.E95.B.2174
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2012
AB - The lateral velocity is of importance in cases like target identification and traffic management. Conventional Doppler methods are not capable of measuring lateral velocities since they quantify only the radial component. Based on the spectrogram characteristic of laterally moving targets, an algorithm based on fractional Fourier transform has been studied in the signal processing literature. The algorithm searches the peak position of the transformation, and calculates the lateral velocity from the peak position. The performance analysis of this algorithm is carried out in this paper, which shows that this algorithm approaches Cramer-Rao bound with reasonable computational complexity. Simulations are conducted at last to compare the analytical performance and the experimental result.
ER -