The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 실제 정지 신호의 초해상도 시간 지연 추정 문제를 다룹니다. 시간 지연 추정은 먼저 주파수 추정 문제로 변환됩니다. 그런 다음 단일 실험 데이터로부터 후속 주파수를 추정하는 MUSIC 유형 알고리즘이 제안되는데, 이는 수학적 모델 불일치를 피할 뿐만 아니라 부분 공간 기반 방법의 장점도 활용합니다. 신호 대 잡음(SNR)을 변경하고 두 수신 신호 구성요소를 분리하기 위한 MUSIC 유형 방법의 시간 지연 추정의 평균 제곱 오차(MSE)는 해당 Cramer-Rao 경계와 대략 일치함을 보여주기 위해 표시됩니다. (CRB). 마지막으로 본 논문에서는 제안한 방법의 장점을 보여주기 위해 MUSIC 유형의 방법과 다른 기존 방법의 비교를 제시합니다.
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부
Feng-Xiang GE, Qun WAN, Jian YANG, Ying-Ning PENG, "A Super-Resolution Time Delay Estimation Based on the MUSIC-Type Algorithm" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 12, pp. 2916-2923, December 2002, doi: .
Abstract: The problem of the super-resolution time delay estimation of the real stationary signals is addressed in this paper. The time delay estimation is first converted into a frequency estimation problem. Then a MUSIC-type algorithm to estimate the subsequent frequency from the single-experiment data is proposed, which not only avoids the mathematical model mismatching but also utilizes the advantages of the subspace-based methods. The mean square errors (MSEs) of the time delay estimate of the MUSIC-type method for varying signal-to-noise (SNR) and separation of two received signal components are shown to illustrate that they approximately coincide with the corresponding Cramer-Rao bound (CRB). Finally, the comparison between the MUSIC-type method and the other conventional methods is presented to show the advantages of the proposed method in this paper.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_12_2916/_p
부
@ARTICLE{e85-b_12_2916,
author={Feng-Xiang GE, Qun WAN, Jian YANG, Ying-Ning PENG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Super-Resolution Time Delay Estimation Based on the MUSIC-Type Algorithm},
year={2002},
volume={E85-B},
number={12},
pages={2916-2923},
abstract={The problem of the super-resolution time delay estimation of the real stationary signals is addressed in this paper. The time delay estimation is first converted into a frequency estimation problem. Then a MUSIC-type algorithm to estimate the subsequent frequency from the single-experiment data is proposed, which not only avoids the mathematical model mismatching but also utilizes the advantages of the subspace-based methods. The mean square errors (MSEs) of the time delay estimate of the MUSIC-type method for varying signal-to-noise (SNR) and separation of two received signal components are shown to illustrate that they approximately coincide with the corresponding Cramer-Rao bound (CRB). Finally, the comparison between the MUSIC-type method and the other conventional methods is presented to show the advantages of the proposed method in this paper.},
keywords={},
doi={},
ISSN={},
month={December},}
부
TY - JOUR
TI - A Super-Resolution Time Delay Estimation Based on the MUSIC-Type Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 2916
EP - 2923
AU - Feng-Xiang GE
AU - Qun WAN
AU - Jian YANG
AU - Ying-Ning PENG
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2002
AB - The problem of the super-resolution time delay estimation of the real stationary signals is addressed in this paper. The time delay estimation is first converted into a frequency estimation problem. Then a MUSIC-type algorithm to estimate the subsequent frequency from the single-experiment data is proposed, which not only avoids the mathematical model mismatching but also utilizes the advantages of the subspace-based methods. The mean square errors (MSEs) of the time delay estimate of the MUSIC-type method for varying signal-to-noise (SNR) and separation of two received signal components are shown to illustrate that they approximately coincide with the corresponding Cramer-Rao bound (CRB). Finally, the comparison between the MUSIC-type method and the other conventional methods is presented to show the advantages of the proposed method in this paper.
ER -