Research on Insects Movement Based on the Detection of Doppler Echo

Xu Qiang Lang; Jia Lin Hou; Kai Tang; Cheng Yong Xiang

doi:10.4028/www.scientific.net/AMM.333-335.1679

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An Artificial Neural Network Recognition Method for Single-Phase Earth Fault of Ultra-High Voltage Power Grid
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Quantitative Evaluation of Laboratory Testing Capability
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Testing of High-Resolution Analog-to-Digital Converters Using Segmentation and Optimized Low-Precision DAC
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Transmission Line Fault Location Based on Hilbert-Huang Transformation and SVM
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Research on Insects Movement Based on the Detection of Doppler Echo
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Gear Fault Diagnosis Methods Based on EMD and HMM
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Application of Pavement Quality Indicator in the Construction Quality Instant Control of Asphalt Pavement
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The Realization of Equipment Status Monitoring System Driven by Task Stage
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Development of Battery Test System for Electric Vehicle
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 333-335Research on Insects Movement Based on the...

Research on Insects Movement Based on the Detection of Doppler Echo

Abstract:

With the difficulty to detect and locate the hidden insects, microwave Doppler theory has been used to solve this problem. In this paper, we establish a microwave reflection model using the insects body as the reflector. According to the three different movement patterns of the experimental insects, we implement the MATALAB simulation.By analyzing the reflected signal using the time-frequency analysis, we can easily distinguish the movement patterns of the insects with high sensitivity. The hidden insects can be efficiently detected without any harm. It has great significance to the further development of the hidden insect detection technology.

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Periodical:

Applied Mechanics and Materials (Volumes 333-335)

Pages:

1679-1683

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.333-335.1679

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Online since:

July 2013

Authors:

Xu Qiang Lang, Jia Lin Hou, Kai Tang, Cheng Yong Xiang

Keywords:

Doppler, Hidden Insect, Microwave, Time-Frequency Analysis

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References

[1] Mankin R W. Microwave radar detection of stored-prod-uctinsects. Journal of Entomology, 2004, 97(3): 1168-1173.

DOI: 10.1093/jee/97.3.1168

Google Scholar

[2] Evans T A. Assessing efficacy of TermatracTM; a newmicrowave based technology for non-destructive detectionoftermites(Isoptera). Sociobiology, 2002, 40: 575-583.

Google Scholar

[3] Zhaowen Zhuang, Yong Xiang, Lixiang LIU. The Achievements of Target Characteristic with Micro-Motion. Acte Electronica Sinica, 2007; 35( 3): 520- 525. In Chinese.

Google Scholar

[4] Ye Tian, Xiaoqiang Xie, Bo Yan. Research of Microwave Doppler Radar for Vessel VelocityMeasurement. Journal of Microwaves, 2010, 8: 650-652. In Chinese.

Google Scholar

[5] Jinsong Zhong, Yu ying, ed. Time-Frequency Transforms for Radar Imaging and Signal Analysis 2008. beijing: china ocean press. In Chinese.

Google Scholar

[6] Zhexue Ge, Chen Zhongsheng. Matlab time-frequency analysis technology and its application. beijing. The posts and telecommunications press2006-1-1. In Chinese.

Google Scholar

[7] DuPorte E M. Manual of Insect Morphology. London. Chapmand and Hall, 1967, 1~2.

Google Scholar

[8] Mallat, S. , and Z. Zhang. Matching Pursuit with Time-Frequency Dictionaries IEEE Trans. Signal Processing, Vol. 41, No. 12, December 1993, pp.3397-3415.

DOI: 10.1109/78.258082

Google Scholar