Improved object recognition performance of UWB radar according to different window functions
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In this paper, we implemented an Ultra-Wideband radar system using Stripmap Synthetic Apertrure Radar algorithm torecognize objects inside a box. Different window functions such as Hanning, Hamming, Kaiser, and Taylor functions toimprove image recognition performance are applied and implemented to radar system. The Ultra-Wideband radar system with3.1~4.8 GHz broadband and UWB antenna were implemented to recognize the conductor plate located inside 1m3 box. Toobtain the image, we use the propagation data in the time domain according to the 1m movement distance and use the RangeDoppler algorithm. The effect of different window functions to improve the recognition performance of the image areanalyzed. From the compared results, we confirmed that the Kaiser window function can obtain a relatively good image.
Abstract
In this paper, we implemented an Ultra-Wideband radar system using Stripmap Synthetic Apertrure Radar algorithm torecognize objects inside a box. Different window functions such as Hanning, Hamming, Kaiser, and Taylor functions toimprove image recognition performance are applied and implemented to radar system. The Ultra-Wideband radar system with3.1~4.8 GHz broadband and UWB antenna were implemented to recognize the conductor plate located inside 1m3 box. Toobtain the image, we use the propagation data in the time domain according to the 1m movement distance and use the RangeDoppler algorithm. The effect of different window functions to improve the recognition performance of the image areanalyzed. From the compared results, we confirmed that the Kaiser window function can obtain a relatively good image.
참고문헌 (14)
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