Direction of arrival estimation in practical scenarios using moving standard deviation processing for localization and tracking with acoustic vector sensors

Penhale, Miles B.; Barnard, Andrew

doi:10.1016/j.apacoust.2020.107421

Cited by 7 publications

(2 citation statements)

References 33 publications

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“…While significant strides have been made in addressing the former, the latter, pertaining to sources with dynamic and non-static positions, remains an active and evolving research frontier, warranting further investigation and scholarly attention. Although approaches have been presented for parameters tracking [244][245][246][247][248][249], none have been developed for the mixed-field sources scenario. Regarding tracking parameters in the scenario of mixed sources, two cases may be imagined.…”

Section: G Tracking Parametersmentioning

confidence: 99%

A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario

Molaei,

Zakeri,

Andargoli

et al. 2024

IEEE Access

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Direction-of-arrival (DOA) estimation plays a crucial role in array signal processing across various domains, including radar, sonar, wireless communications, and seismic exploration. However, traditional DOA techniques often assume either far-field (FF) or near-field (NF) propagation, limiting their applicability in scenarios involving mixed-field sources. DOA estimation and localization in scenarios involving mixed NF and FF sources is a complex and dynamic field that has garnered significant research attention in recent years. This multifaceted and evolving area holds promise for addressing challenges in radar, wireless communications, and acoustic sensing applications. This review paper provides a comprehensive overview of the methodologies, techniques, and advancements in this domain. We categorize existing methodologies, discussing their advantages and limitations. Furthermore, we delve into the mathematical modeling of mixed-field sources and essential signal processing techniques for parameter estimation. Special attention is given to technical issues such as aperture loss, computational complexity, and hardware considerations. The paper discusses the various sources of noise in the mentioned scenario and highlights the importance of modeling noise accurately for effective estimation. It also explores different scenarios and assumptions considered in the literature, ranging from non-Gaussian and nonstationary noise environments to scenarios involving multipath propagation and unknown mutual coupling effects. A detailed examination of the statistical approaches used in DOA estimation and localization reveals a diverse range of methods, including higher-order statistics and second-order statistics, each with its own advantages and applications. A comparative evaluation of various approaches highlights their performance in terms of estimation accuracy, resolution, aperture loss and computational efficiency. This provides insights into the trade-offs involved in choosing between different approaches. The review also identifies promising future research directions, such as the exploration of advanced signal processing techniques like compressive sensing and deep learning, exact NF modeling, estimation based on one-bit measurements, the integration of polarization diversity, employing metasurface antennas, tracking parameters, and the utilization of full-wave or experimental data for a more realistic representation of the challenges. By reviewing advances in methodologies and techniques, as well as outlining future research directions aimed at addressing the complexities of mixed-field scenarios, this paper paves the way for the development of more robust and reliable localization systems capable of handling real-world complexities.

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Section: G Tracking Parametersmentioning

confidence: 99%

A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario

Molaei,

Zakeri,

Andargoli

et al. 2024

IEEE Access

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“…Firstly, the Newton algorithm is utilized to solve the non-linear optimization problem in the conventional USBL based UWAL method. However, when the initial value is improper in real scene, the Newton algorithm suffers from a low convergence probability especially for the 3-dimentional (3-D) case [23], which dramatically deteriorates the localization precision. To improve the convergence probability, we propose a modified Newton algorithm, which introduces the singular value factor to cure the ill-condition partial derivative matrix.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Ultra-Short Base Line Based Underwater Acoustical Localization Utilizing Modified Newton Algorithm

Liu

Qin

et al. 2021

IEEE Access

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The ultra-short base line (USBL) is a widely used technique in achieving the underwater acoustic localization (UWAL). Aimed at increasing the localization precision, we propose a threedimensional (3-D) USBL based UWAL method utilizing the modified Newton algorithm. Firstly, a modified Newton algorithm is proposed by introducing the singular value factor to address the nonconvergence problem, which dramatically deteriorate the localization precision in the traditional Newton algorithm. Secondly, a localization node selection algorithm is presented to optimize the localization precision and reduce the computational burden. Moreover, the localization precision analysis is implemented to evaluate the theoretical performance of the method. Finally, simulation and lake trial results prove the effectiveness of the method.INDEX TERMS Underwater acoustic localization (UWAL), Ultra short base line (USBL), Direction of arrival (DOA), Newton algorithm.

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Study of acoustic vector sensor based direction of arrival estimation of in-air maneuvering tonal source

2022

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Direction of arrival estimation in practical scenarios using moving standard deviation processing for localization and tracking with acoustic vector sensors

Cited by 7 publications

References 33 publications

A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario

A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario

Three-Dimensional Ultra-Short Base Line Based Underwater Acoustical Localization Utilizing Modified Newton Algorithm

Study of acoustic vector sensor based direction of arrival estimation of in-air maneuvering tonal source

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