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 논문은 MUSIC 기반 잡음 부분공간의 언래핑된 위상 정보를 이용한 고해상도 DOA(Direction-Of-Arrival) 추정 방법을 제시한다. MUSIC, Root-MUSIC 및 ESPRIT 방법과 같은 초해상도 DOA 추정 방법은 입사 신호의 DOA를 추정하는 데 뛰어난 특성으로 인해 큰 주목을 받고 있습니다. 이러한 방법은 좋은 전파 환경에서 DOA를 추정하는 데 높은 정확도를 달성하지만 낮은 신호 대 잡음비(SNR), 적은 수의 스냅샷 또는 입사파가 가까운 각도에서 오는 경우와 같은 가혹한 환경에서는 DOA를 추정하지 못합니다. MUSIC 방식에서는 배열 응답과 잡음 고유 벡터 간의 내적 절대값을 기준으로 스펙트럼을 계산합니다. 이는 MUSIC이 진폭 특성만 사용하고 위상 특성은 사용하지 않음을 의미합니다. 위상 특성이 신호 및 영상 처리에 중요한 역할을 한다는 점을 상기하면서, MUSIC 스펙트럼 외에도 위상 정보를 활용하면 DOA 추정 정확도를 더욱 향상시킬 수 있을 것으로 기대합니다. 본 논문에서는 MUSIC 기반 잡음 부분공간의 언래핑되고 미분된 위상 정보를 사용하여 DOA 추정을 위한 정확한 스펙트럼을 얻는 절차를 개발합니다. 제안된 방법의 성능은 일부 기존 추정 방법과 비교하여 컴퓨터 시뮬레이션을 통해 평가됩니다.
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부
Koichi ICHIGE, Kazuhiko SAITO, Hiroyuki ARAI, "High Resolution DOA Estimation Using Unwrapped Phase Information of MUSIC-Based Noise Subspace" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 8, pp. 1990-1999, August 2008, doi: 10.1093/ietfec/e91-a.8.1990.
Abstract: This paper presents a high resolution Direction-Of-Arrival (DOA) estimation method using unwrapped phase information of MUSIC-based noise subspace. Superresolution DOA estimation methods such as MUSIC, Root-MUSIC and ESPRIT methods are paid great attention because of their brilliant properties in estimating DOAs of incident signals. Those methods achieve high accuracy in estimating DOAs in a good propagation environment, but would fail to estimate DOAs in severe environments like low Signal-to-Noise Ratio (SNR), small number of snapshots, or when incident waves are coming from close angles. In MUSIC method, its spectrum is calculated based on the absolute value of the inner product between array response and noise eigenvectors, means that MUSIC employs only the amplitude characteristics and does not use any phase characteristics. Recalling that phase characteristics plays an important role in signal and image processing, we expect that DOA estimation accuracy could be further improved using phase information in addition to MUSIC spectrum. This paper develops a procedure to obtain an accurate spectrum for DOA estimation using unwrapped and differentiated phase information of MUSIC-based noise subspace. Performance of the proposed method is evaluated through computer simulation in comparison with some conventional estimation methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.8.1990/_p
부
@ARTICLE{e91-a_8_1990,
author={Koichi ICHIGE, Kazuhiko SAITO, Hiroyuki ARAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={High Resolution DOA Estimation Using Unwrapped Phase Information of MUSIC-Based Noise Subspace},
year={2008},
volume={E91-A},
number={8},
pages={1990-1999},
abstract={This paper presents a high resolution Direction-Of-Arrival (DOA) estimation method using unwrapped phase information of MUSIC-based noise subspace. Superresolution DOA estimation methods such as MUSIC, Root-MUSIC and ESPRIT methods are paid great attention because of their brilliant properties in estimating DOAs of incident signals. Those methods achieve high accuracy in estimating DOAs in a good propagation environment, but would fail to estimate DOAs in severe environments like low Signal-to-Noise Ratio (SNR), small number of snapshots, or when incident waves are coming from close angles. In MUSIC method, its spectrum is calculated based on the absolute value of the inner product between array response and noise eigenvectors, means that MUSIC employs only the amplitude characteristics and does not use any phase characteristics. Recalling that phase characteristics plays an important role in signal and image processing, we expect that DOA estimation accuracy could be further improved using phase information in addition to MUSIC spectrum. This paper develops a procedure to obtain an accurate spectrum for DOA estimation using unwrapped and differentiated phase information of MUSIC-based noise subspace. Performance of the proposed method is evaluated through computer simulation in comparison with some conventional estimation methods.},
keywords={},
doi={10.1093/ietfec/e91-a.8.1990},
ISSN={1745-1337},
month={August},}
부
TY - JOUR
TI - High Resolution DOA Estimation Using Unwrapped Phase Information of MUSIC-Based Noise Subspace
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1990
EP - 1999
AU - Koichi ICHIGE
AU - Kazuhiko SAITO
AU - Hiroyuki ARAI
PY - 2008
DO - 10.1093/ietfec/e91-a.8.1990
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2008
AB - This paper presents a high resolution Direction-Of-Arrival (DOA) estimation method using unwrapped phase information of MUSIC-based noise subspace. Superresolution DOA estimation methods such as MUSIC, Root-MUSIC and ESPRIT methods are paid great attention because of their brilliant properties in estimating DOAs of incident signals. Those methods achieve high accuracy in estimating DOAs in a good propagation environment, but would fail to estimate DOAs in severe environments like low Signal-to-Noise Ratio (SNR), small number of snapshots, or when incident waves are coming from close angles. In MUSIC method, its spectrum is calculated based on the absolute value of the inner product between array response and noise eigenvectors, means that MUSIC employs only the amplitude characteristics and does not use any phase characteristics. Recalling that phase characteristics plays an important role in signal and image processing, we expect that DOA estimation accuracy could be further improved using phase information in addition to MUSIC spectrum. This paper develops a procedure to obtain an accurate spectrum for DOA estimation using unwrapped and differentiated phase information of MUSIC-based noise subspace. Performance of the proposed method is evaluated through computer simulation in comparison with some conventional estimation methods.
ER -