[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7471/ikeee.2019.23.2.395

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)

Publication Information

Journal of IKEEE / v.23, no.2, 2019 , pp. 395-402 More about this Journal

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

Stripmap; Synthetic Aperture Radar; Window function; Ultra-Wideband; Range Doppler;

Citations & Related Records

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