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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Este artigo apresenta um método de estimativa de direção de chegada (DOA) de alta resolução usando informações de fase desembrulhadas do subespaço de ruído baseado em MÚSICA. Métodos de estimativa de DOA de superresolução, como os métodos MUSIC, Root-MUSIC e ESPRIT, recebem grande atenção devido às suas propriedades brilhantes na estimativa de DOAs de sinais incidentes. Esses métodos alcançam alta precisão na estimativa de DOAs em um bom ambiente de propagação, mas não conseguiriam estimar DOAs em ambientes severos, como baixa relação sinal-ruído (SNR), pequeno número de instantâneos ou quando ondas incidentes vêm de ângulos próximos. No método MUSIC, seu espectro é calculado com base no valor absoluto do produto interno entre a resposta do array e os autovetores de ruído, o que significa que MUSIC emprega apenas as características de amplitude e não utiliza nenhuma característica de fase. Lembrando que as características de fase desempenham um papel importante no processamento de sinais e imagens, esperamos que a precisão da estimativa do DOA possa ser melhorada usando informações de fase além do espectro de MÚSICA. Este artigo desenvolve um procedimento para obter um espectro preciso para estimativa de DOA usando informações de fase diferenciadas e desembrulhadas do subespaço de ruído baseado em MÚSICA. O desempenho do método proposto é avaliado através de simulação computacional em comparação com alguns métodos convencionais de estimativa.
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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
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@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},}
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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 -