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
이 논문에서는 시간 영역의 스냅샷과 공간 영역의 센서가 희박하게 간격을 두고 있는 완화된 조건에서 주파수와 도착 방향(DOA)의 공동 추정을 다룹니다. 특히, 요소 간 간격의 넓은 범위를 허용하는 새로운 코프라임 희소 어레이가 제안된 조인트 방식에 사용되어 기존 어레이의 반파장 제약을 크게 완화합니다. 또한, 작은 크기의 DFT 스펙트럼 보정을 폐쇄형 강인 중국 잔여 정리(CRT)와 통합함으로써 시공간 언더샘플링으로 인해 발생하는 스펙트럼 에일리어싱과 정수 위상 모호성을 모두 효율적인 방법으로 제거할 수 있습니다. 결과적으로, 서로 다른 언더샘플링 속도로 병렬로 수집된 관측 데이터를 재사용함으로써 이 두 매개변수를 효율적으로 추정할 수 있어 데이터 활용도가 크게 향상됩니다. 수치 결과는 제안된 공동 계획이 매우 정확하다는 것을 보여줍니다.
Xiangdong HUANG
Tianjin University
Mengkai YANG
Tianjin University
Mingzhuo LIU
Tianjin University
Lin YANG
Tianjin University
Haipeng FU
Tianjin University
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부
Xiangdong HUANG, Mengkai YANG, Mingzhuo LIU, Lin YANG, Haipeng FU, "Joint Estimation of Frequency and DOA with Spatio-Temporal Sub-Nyquist Sampling Based on Spectrum Correction and Chinese Remainder Theorem" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 9, pp. 2007-2016, September 2018, doi: 10.1587/transcom.2017EBP3437.
Abstract: This paper addresses joint estimation of the frequency and the direction-of-arrival (DOA), under the relaxed condition that both snapshots in the temporal domain and sensors in the spacial domain are sparsely spaced. Specifically, a novel coprime sparse array allowing a large range for interelement spacings is employed in the proposed joint scheme, which greatly alleviates the conventional array's half-wavelength constraint. Further, by incorporating small-sized DFT spectrum correction with the closed-form robust Chinese Remainder Theorem (CRT), both spectral aliasing and integer phase ambiguity caused by spatio-temporal under-sampling can be removed in an efficient way. As a result, these two parameters can be efficiently estimated by reusing the observation data collected in parallel at different undersampling rates, which remarkably improves the data utilization. Numerical results demonstrate that the proposed joint scheme is highly accurate.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3437/_p
부
@ARTICLE{e101-b_9_2007,
author={Xiangdong HUANG, Mengkai YANG, Mingzhuo LIU, Lin YANG, Haipeng FU, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint Estimation of Frequency and DOA with Spatio-Temporal Sub-Nyquist Sampling Based on Spectrum Correction and Chinese Remainder Theorem},
year={2018},
volume={E101-B},
number={9},
pages={2007-2016},
abstract={This paper addresses joint estimation of the frequency and the direction-of-arrival (DOA), under the relaxed condition that both snapshots in the temporal domain and sensors in the spacial domain are sparsely spaced. Specifically, a novel coprime sparse array allowing a large range for interelement spacings is employed in the proposed joint scheme, which greatly alleviates the conventional array's half-wavelength constraint. Further, by incorporating small-sized DFT spectrum correction with the closed-form robust Chinese Remainder Theorem (CRT), both spectral aliasing and integer phase ambiguity caused by spatio-temporal under-sampling can be removed in an efficient way. As a result, these two parameters can be efficiently estimated by reusing the observation data collected in parallel at different undersampling rates, which remarkably improves the data utilization. Numerical results demonstrate that the proposed joint scheme is highly accurate.},
keywords={},
doi={10.1587/transcom.2017EBP3437},
ISSN={1745-1345},
month={September},}
부
TY - JOUR
TI - Joint Estimation of Frequency and DOA with Spatio-Temporal Sub-Nyquist Sampling Based on Spectrum Correction and Chinese Remainder Theorem
T2 - IEICE TRANSACTIONS on Communications
SP - 2007
EP - 2016
AU - Xiangdong HUANG
AU - Mengkai YANG
AU - Mingzhuo LIU
AU - Lin YANG
AU - Haipeng FU
PY - 2018
DO - 10.1587/transcom.2017EBP3437
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2018
AB - This paper addresses joint estimation of the frequency and the direction-of-arrival (DOA), under the relaxed condition that both snapshots in the temporal domain and sensors in the spacial domain are sparsely spaced. Specifically, a novel coprime sparse array allowing a large range for interelement spacings is employed in the proposed joint scheme, which greatly alleviates the conventional array's half-wavelength constraint. Further, by incorporating small-sized DFT spectrum correction with the closed-form robust Chinese Remainder Theorem (CRT), both spectral aliasing and integer phase ambiguity caused by spatio-temporal under-sampling can be removed in an efficient way. As a result, these two parameters can be efficiently estimated by reusing the observation data collected in parallel at different undersampling rates, which remarkably improves the data utilization. Numerical results demonstrate that the proposed joint scheme is highly accurate.
ER -