Fast implementation of generalised Radon-Fourier transform for manoeuvring radar target detection

L. C. Qian; J. Xu; X. G. Xia; W. F. Sun; T. Long; Y. N. Peng

doi:10.1049/el.2012.2255

Fast implementation of generalised Radon-Fourier transform for manoeuvring radar target detection

L. C. Qian^*
, J. Xu
, X. G. Xia
, W. F. Sun
, T. Long
, Y. N. Peng

^*此作品的通讯作者

信息与电子学院

Air Force Early Warning Academy
Beijing Institute of Technology
University of Delaware
Tsinghua University

科研成果: 期刊稿件 › 文章 › 同行评审

75 引用（Scopus）

摘要

The ergodic search in the generalised Radon-Fourier transform (GRFT) may have a huge computational complexity, and blind speed side lobes (BSSL) in the GRFT can lead to a high false alarm rate. Based on some specific relationships of the BSSL and the target's main lobe, an improved particle swarm optimisation is presented for the fast implementation of GRFT, and the BSSL problem can be solved simultaneously. Some real data experimental results are provided to verify the effectiveness and efficiency of this method.

源语言	英语
页（从-至）	1427-1428
页数	2
期刊	Electronics Letters
卷	48
期	22
DOI	https://doi.org/10.1049/el.2012.2255
出版状态	已出版 - 25 10月 2012

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abstract = "The ergodic search in the generalised Radon-Fourier transform (GRFT) may have a huge computational complexity, and blind speed side lobes (BSSL) in the GRFT can lead to a high false alarm rate. Based on some specific relationships of the BSSL and the target's main lobe, an improved particle swarm optimisation is presented for the fast implementation of GRFT, and the BSSL problem can be solved simultaneously. Some real data experimental results are provided to verify the effectiveness and efficiency of this method.",

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AU - Qian, L. C.

AU - Xu, J.

AU - Xia, X. G.

AU - Sun, W. F.

AU - Long, T.

AU - Peng, Y. N.

PY - 2012/10/25

Y1 - 2012/10/25

N2 - The ergodic search in the generalised Radon-Fourier transform (GRFT) may have a huge computational complexity, and blind speed side lobes (BSSL) in the GRFT can lead to a high false alarm rate. Based on some specific relationships of the BSSL and the target's main lobe, an improved particle swarm optimisation is presented for the fast implementation of GRFT, and the BSSL problem can be solved simultaneously. Some real data experimental results are provided to verify the effectiveness and efficiency of this method.

AB - The ergodic search in the generalised Radon-Fourier transform (GRFT) may have a huge computational complexity, and blind speed side lobes (BSSL) in the GRFT can lead to a high false alarm rate. Based on some specific relationships of the BSSL and the target's main lobe, an improved particle swarm optimisation is presented for the fast implementation of GRFT, and the BSSL problem can be solved simultaneously. Some real data experimental results are provided to verify the effectiveness and efficiency of this method.

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Fast implementation of generalised Radon-Fourier transform for manoeuvring radar target detection

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