Two-step reliability test based unitary root-MUSIC for direction-of-arrival estimation

Cheng, Qi; Xiao, Yu-Hang; So, Hing Cheung

doi:10.1016/j.dsp.2015.02.005

Cited by 11 publications

(2 citation statements)

References 24 publications

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“…For small signal‐to‐noise ratio and the closer signal sources, they will appear similar situation, and cannot accurately estimate the signal direction. To avoid this situation, the root‐MUSIC algorithm [22] for the double PD sources direction realises the effective signal source estimation.…”

Section: Simulation Of the Double Pd Sources Direction And Locationmentioning

confidence: 99%

Method of sparse design based on the dimension reduction technology and the double partial discharge sources positioning test

Xie

Huang

Liú

et al. 2016

IET Science, Measurement & Technology

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Section: Simulation Of the Double Pd Sources Direction And Locationmentioning

confidence: 99%

Method of sparse design based on the dimension reduction technology and the double partial discharge sources positioning test

Xie

Huang

Liú

et al. 2016

IET Science, Measurement & Technology

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“…Source localization is a research branch of array signal processing, and it plays an important role in radar, electronic monitoring, navigation, aerospace, and medical imaging [1][2][3]. In the initial stage of source location research, the direction of incoming wave is mainly estimated for radiation far-field (RFF) sources and a large number of related algorithms are proposed [4][5][6][7][8]. With the rapid development of 5G and MIMO technologies [8,9], the space electromagnetic field environment becomes more complex, and the distances between some sources and arrays are less than the Rayleigh distance.…”

Section: Introductionmentioning

confidence: 99%

A High Degree of Freedom Radiation Near-Field Source Localization Algorithm with Gain–Phase Error

Zhang,

Li,

et al. 2024

Journal of Sensors

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The limitation of the number of estimable sources in the localization of radiation near-field sources with gain–phase error is examined in this paper. When only the reference element has no gain–phase error, a new method based on an accurate model is proposed to enhance the maximum number of estimable sources. Based on the location parameter details of the auxiliary source, the method first derives the gain–phase error estimate matrix. Second, the source steering vector including errors is estimated using the total least square estimating signal parameter via rotational invariance techniques (TLS-ESPRIT), and the time-shifted data matrix is built utilizing the space–time combination idea, thus increasing the degree of freedom of the array. Then, the source steering vector containing the error is modified by the error compensation matrix constructed according to the moment of gain–phase error estimation. Finally, the estimated values of the source position parameters are obtained by using the closed formula of the gain phase of the modified source steering vector and the source position parameters. The experimental results show that the maximum estimable source number of the proposed algorithm is significantly improved compared with the previous results when only the reference array element has no gain–phase error. When the array number is 5 and 9, the maximum estimable source number of the algorithm is 9 and 17, respectively.

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Advances in Smart Antenna Systems for Wireless Communication

Dakulagi

Bakhar

2019

Wireless Pers Commun

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Two-step reliability test based unitary root-MUSIC for direction-of-arrival estimation

Cited by 11 publications

References 24 publications

Method of sparse design based on the dimension reduction technology and the double partial discharge sources positioning test

Method of sparse design based on the dimension reduction technology and the double partial discharge sources positioning test

A High Degree of Freedom Radiation Near-Field Source Localization Algorithm with Gain–Phase Error

Advances in Smart Antenna Systems for Wireless Communication

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