Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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Improved object recognition performance of UWB radar according to different window functions

  • Nguyen, Trung Kien (Dept. of Information & Communication Eng., Kongju National University) ;
  • Hong, Ic-Pyo (Dept. of Information & Communication Eng., Kongju National University)
  • Received : 2019.05.28
  • Accepted : 2019.06.11
  • Published : 2019.06.30
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Abstract

In this paper, we implemented an Ultra-Wideband radar system using Stripmap Synthetic Apertrure Radar algorithm to recognize objects inside a box. Different window functions such as Hanning, Hamming, Kaiser, and Taylor functions to improve image recognition performance are applied and implemented to radar system. The Ultra-Wideband radar system with 3.1~4.8 GHz broadband and UWB antenna were implemented to recognize the conductor plate located inside 1m3 box. To obtain the image, we use the propagation data in the time domain according to the 1m movement distance and use the Range Doppler algorithm. The effect of different window functions to improve the recognition performance of the image are analyzed. From the compared results, we confirmed that the Kaiser window function can obtain a relatively good image.

Keywords

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Fig. 1. Measurement principle of system.

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Fig. 2. Transmitted pulse of P440 radar device.

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Fig. 3. Original waveform recorded from radar device.

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Fig. 4. Smoothing windows in time domain.

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Fig. 5. RDA block flow chart.

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Fig. 6. P440 UWB radar device.

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Fig. 7. UWB directional high gain broad band TEM antenna.

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Fig. 8. Movement assembly support to move radar on azimuth path.

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Fig. 9. Target and experiment environment

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Fig. 11. Image reproduced by Rectangle window.

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Fig. 12. Image reproduced by Hamming window.

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Fig. 13. Image reproduced by Hanning window.

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Fig. 14. Image reproduced by Blackman window.

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Fig. 15. Image reproduced by Kaiser window (–β = 2.5)

Table 1. P440 radar device and experiment parameters.

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