The Journal of Korea Institute of Information, Electronics, and Communication Technology (한국정보전자통신기술학회논문지)

Korea Information Electronic Communication Technology (한국정보전자통신기술학회)
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A Study on Unmanned Vehicles Estimation using Steepest Descent, Wiener and Bartlett Algorithm

최급 하강법 및 위너 방법을 Bartlett알고리즘에 적용한 무인 이동체 탐지 방법에 대한 연구

  • Lee, Kwan-Hyeong (Division of Human IT Convergence, Major in Human Robot Convergence, Daejin University) ;
  • Song, Woo-Young (Department of Electronic Engineering, Cheongju University)
  • Received : 2017.03.17
  • Accepted : 2017.04.13
  • Published : 2017.04.30
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Abstract

In this paper, we studied the Bartlett method to correctly estimate the targets of a unmanned vehicles. The Bartlett method estimates the desired signals by making the gain constant for the received signal incident on the array antenna. In this paper, the weights of the Bartlett method are updated by applying the winner method and steepest descent method in order to estimation the accurate unmanned. The updated weights improve the resolution of the existing Bartlett method by applying optimal weights to all received signals received at the array antenna. Through simulation, we are comparative analysis about the performance of proposed method. From result of simulation, We showed the superior performance of the proposed method relative to the classical method, and Bartlett using steep descent method showed more superior than one using wiener method.

본 연구에서는 Bartlett방법으로 무인체의 목표물을 정확히 추정하는 방법에 대해서 연구하였다. Bartlett 방법은 배열안테나에 입사하는 수신신호에 이득을 일정하게 하여 원하는 신호를 추정한다. 본 연구는 정확한 무인체를 예측하기 위해서 Bartlett방법의 가중치를 위너 와 최급 하강법을 적용하여 갱신한다. 갱신된 가중치는 배열안테나에 수신되는 모든 수신신호에 최적 가중치를 적용하여 기존 Bartlett방법의 분해능을 향상시킨다. 모의실험을 이용하여 본 연구에서 제안한 Bartlett방법의 성능을 분석한다. 성능분석은 Bartlett 방법에 위너와 최강 하급법을 각각 적용시킨 두 방법과 기존의 Bartlett방법을 비교분석한다. 모의실험결과, 본 연구에서 제안한 방법이 기존의 Bartlett보다 분해능이 우수하였고, 최급 하강법이 위너방법보다 분해능이 향상됨을 나타내었다.

Keywords

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