A novel radar detection method for sensing tiny and maneuvering insect migrants

Rui Wang; Jiong Cai; Cheng Hu; Chao Zhou; Tianran Zhang

doi:10.3390/rs12193238

A novel radar detection method for sensing tiny and maneuvering insect migrants

Rui Wang, Jiong Cai, Cheng Hu^*, Chao Zhou, Tianran Zhang

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Comment/debate

9 Citations (Scopus)

Abstract

The use of radar to monitor insect migration is of great significance for pest control and biological migration mechanism research. However, migrating insects usually have small radar-cross-section (RCS) and are accompanied by maneuvering. The current radar detection algorithms mainly have contradictions in detection performance and computational complexity. So it is difficult for traditional radar detection algorithms to detect them effectively. Hence, a novel coherent integration detection algorithm based on dynamic programming (DP) and fractional Fourier transforming (FrFT) is proposed. By combining the advantages of DP and FrFT, the proposed DP-FrFT method can quickly search the target track, and simultaneously perform parameters estimation and motion compensation, achieving high integration gain with relatively low time consumption. The high efficiency of the method is verified with a large number of simulations and sufficient field experiments.

Original language	English
Article number	3238
Pages (from-to)	1-16
Number of pages	16
Journal	Remote Sensing
Volume	12
Issue number	19
DOIs	https://doi.org/10.3390/rs12193238
Publication status	Published - 1 Oct 2020

Keywords

Long-time coherent integration
Migrating insect
Radar detection

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title = "A novel radar detection method for sensing tiny and maneuvering insect migrants",

abstract = "The use of radar to monitor insect migration is of great significance for pest control and biological migration mechanism research. However, migrating insects usually have small radar-cross-section (RCS) and are accompanied by maneuvering. The current radar detection algorithms mainly have contradictions in detection performance and computational complexity. So it is difficult for traditional radar detection algorithms to detect them effectively. Hence, a novel coherent integration detection algorithm based on dynamic programming (DP) and fractional Fourier transforming (FrFT) is proposed. By combining the advantages of DP and FrFT, the proposed DP-FrFT method can quickly search the target track, and simultaneously perform parameters estimation and motion compensation, achieving high integration gain with relatively low time consumption. The high efficiency of the method is verified with a large number of simulations and sufficient field experiments.",

keywords = "Long-time coherent integration, Migrating insect, Radar detection",

author = "Rui Wang and Jiong Cai and Cheng Hu and Chao Zhou and Tianran Zhang",

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T1 - A novel radar detection method for sensing tiny and maneuvering insect migrants

AU - Wang, Rui

AU - Cai, Jiong

AU - Hu, Cheng

AU - Zhou, Chao

AU - Zhang, Tianran

PY - 2020/10/1

Y1 - 2020/10/1

N2 - The use of radar to monitor insect migration is of great significance for pest control and biological migration mechanism research. However, migrating insects usually have small radar-cross-section (RCS) and are accompanied by maneuvering. The current radar detection algorithms mainly have contradictions in detection performance and computational complexity. So it is difficult for traditional radar detection algorithms to detect them effectively. Hence, a novel coherent integration detection algorithm based on dynamic programming (DP) and fractional Fourier transforming (FrFT) is proposed. By combining the advantages of DP and FrFT, the proposed DP-FrFT method can quickly search the target track, and simultaneously perform parameters estimation and motion compensation, achieving high integration gain with relatively low time consumption. The high efficiency of the method is verified with a large number of simulations and sufficient field experiments.

AB - The use of radar to monitor insect migration is of great significance for pest control and biological migration mechanism research. However, migrating insects usually have small radar-cross-section (RCS) and are accompanied by maneuvering. The current radar detection algorithms mainly have contradictions in detection performance and computational complexity. So it is difficult for traditional radar detection algorithms to detect them effectively. Hence, a novel coherent integration detection algorithm based on dynamic programming (DP) and fractional Fourier transforming (FrFT) is proposed. By combining the advantages of DP and FrFT, the proposed DP-FrFT method can quickly search the target track, and simultaneously perform parameters estimation and motion compensation, achieving high integration gain with relatively low time consumption. The high efficiency of the method is verified with a large number of simulations and sufficient field experiments.

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KW - Migrating insect

KW - Radar detection

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DO - 10.3390/rs12193238

M3 - Comment/debate

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JO - Remote Sensing

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ER -

A novel radar detection method for sensing tiny and maneuvering insect migrants

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