LASSO를 사용한 시간 지연 추정 알고리즘

Abstract

In decades, many researchers have studied the time delay estimation (TDE) method for the signals in the two different receivers. The channel estimation based TDE is one of the typical TDE methods. The channel estimation based TDE models the time delay between two receiving signals as an impulse response in a channel between two receivers. In general the impulse response becomes sparse. However, most conventional TDE algorithms cannot have utilized the sparsity. In this paper, we propose a TDE method taking the sparsity into consideration. The performance comparison shows that the proposed algorithm improves the estimation accuracy by 10 dB in the white gaussian source. In addition, even in the colored source, the proposed algorithm doesn't show the estimation threshold effect. ※ 본 논문은 국방과학연구소의 지원을 받아 수행되었습니다. (UD130015DD) First Author:Sejong University Department of Electronic Engineering, jslim@sejong.ac.kr, 종신회원 ° Corresponding Author : Gangwon Provincial University Department of Information and Communication, pyk12@naver.com, 정회원 * Korea Polytechnic Gangneung campus Department of Electronic Communication Engineering, im007@kopo.ac.kr 논문번호:KICS2014-06-247, Received june 29, 2014; Revised September 3, 2014; Accepted September 17, 2014 I. 서 론 두 개의 떨어져 설치된 센서에 도달하는 신호의 상 호 시간 지연을 추정하는 것은 목표물 위치 추정 문제 나 목표물 추적 및 통신에서의 동기화에 이르기까지 다방면에서 쓰이고 있다 . 일반적인 두 센서에 도달 하는 신호의 모델은 다음 식과 같이 표현된다.