Direction‐of‐arrival estimation based on difference‐sum co‐array of a special coprime array

Ye, Kun; Cai, Yongbin; Hong, Shaohua; Sun, Haixin

doi:10.1049/ell2.12701

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Marine localization and navigation technology is widely used in many fields such as diving and salvage, resource exploration, and environmental monitoring [Luo et al (2021); Zhang et al (2021); Su et al (2023); Zhang et al (2024); Ye et al (2023)]. Diving is the primary means by which humans explore, exploit and strategize the oceans [Brown and Wang (2013); Kaneko and Kubota (2021)].…”

Section: Introductionmentioning

confidence: 99%

A mobile prototype-based localization approach using inertial navigation and acoustic tracking for underwater

Ye,

Tan,

Wang

et al. 2024

Front. Mar. Sci.

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During underwater operations, divers must determine their own trajectories using the Inertial Navigation System (INS) they carry to improve operational efficiency. However, the INS contains a sensor bias that is also incorporated into the quadratic integration process to obtain the displacement, resulting in trajectory drift of the divers during prolonged self-guidance. To overcome the above problem, other aids are needed to correct the accumulated error of the INS. The single-beacon Assisted Inertial Navigation (AIN) method can improve the flexibility of inertial error correction while simplifying the localization equipment, which is suitable for the INS cumulative error correction scenario of divers. However, most of the traditional single-beacon assisted correction methods do not consider the effect of acoustic line bending on hydroacoustic ranging, and at the same time, they do not consider the problem of singular or pathological coefficient matrices introduced by inertial navigation neighbor localization deviations. Based on the above two shortcomings, this paper uses the acoustic velocity profile for acoustic line tracking, combines the localization idea of Mobile Primitives (MP), and proposes an MP-based acoustic line tracking-Assisted Inertial Navigation Localization (AINL) method, which constructs a sliding time window (STW) by taking the historical positioning of divers as a virtual primitive, and combines the nonlinear optimization method for iterative optimization search as a means to improve the accuracy and stability of self-navigation of the divers.

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Section: Introductionmentioning

confidence: 99%

A mobile prototype-based localization approach using inertial navigation and acoustic tracking for underwater

Ye,

Tan,

Wang

et al. 2024

Front. Mar. Sci.

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“…The above algorithms are either sensitive to array element errors or limited to array aperture. Various studies on the formation structure have been introduced to improve the performance of the algorithms (Zhang et al, 2021;Zhou et al, 2022;Yang, 2023;Ye et al, 2023). Additionally, in recent years, there has been a growing focus on researching robust highresolution beamforming algorithms.…”

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confidence: 99%

Broadband high-resolution direction of arrival estimation using the generalized weighted Radon transform

Lu,

Sun,

Gulliver

et al. 2024

Front. Mar. Sci.

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Traditional direction of arrival (DOA) estimation algorithms typically have poor spatial resolution and robustness. In this paper, we propose a broadband high-resolution DOA estimation method based on the generalized weighted Radon transform (GWRT). The array signal can be converted into the frequency-wavenumber (f-k) domain using the conditional wavenumber spectrum function (CWSF). Then, a linear integral mathematical model for high-resolution DOA estimation is derived by transforming the f-k domain into the azimuth-energy domain using the GWRT. Computer simulation and sea trials were conducted to validate the feasibility and performance of the proposed method. The results obtained indicate that the proposed method yields a lower sidelobe level and can more effectively suppress the output energy in the non-target direction when compared to the conventional beamforming (CBF), steered minimum variance (STMV), and deconvolution (DCV) methods. Further, the proposed method provides improved spatial resolution and robustness in a multi-target environment.

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Direction‐of‐arrival estimation based on difference‐sum co‐array of a special coprime array

Cited by 2 publications

References 16 publications

A mobile prototype-based localization approach using inertial navigation and acoustic tracking for underwater

A mobile prototype-based localization approach using inertial navigation and acoustic tracking for underwater

Broadband high-resolution direction of arrival estimation using the generalized weighted Radon transform

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