An Improved ToA Ranging Scheme for Localization in Underwater Acoustic Sensor Networks

Yi, Jinwang; Lin, Zhipeng; Yuan, Fei; Xl, Wang; Jiang, Yuan

doi:10.1007/978-981-13-9409-6_276

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Besides multipath, the lack of information on the true sound speed, c, is also an important source of error. In most underwater localization approaches the sound speed, c, is assumed to be known a priori [30], [31]. This assumption usually does not hold.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of ToA and TDOA Based Tracking In Underwater Multipath Environments Using Bernoulli Filter

Güneş

2023

Polish Maritime Research

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Underwater localization and tracking is a challenging problem and Time-of-Arrival and Time-Difference-of-Arrival approaches are commonly used. However, the performance difference between these approaches is not well understood or analysed adequately. There are some analytical studies for terrestrial applications with the assumption that the signal arrival times are not correlated. However, this assumption is not valid for underwater propagation. To present the distinct nature of the problem under the water, a high-fidelity simulation is required. In this study, Time-of-Arrival and Time-Difference-of-Arrival approaches are compared using a ray tracing based propagation model. Moreover, basic methods to mitigate the multipath propagation problem are also implemented for Bernoulli filters. Since the Bernoulli filter is a joint detection and tracking filter, the detection performance is also analysed. Comparisons are done for all combinations of filter and measurement approaches. The results can help to design underwater localization systems better suited to the needs.

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Section: Introductionmentioning

confidence: 99%

Performance Comparison of ToA and TDOA Based Tracking In Underwater Multipath Environments Using Bernoulli Filter

Güneş

2023

Polish Maritime Research

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“…Orthogonal frequency division multiplexing signals have high spectrum utilisation, low system complexity, and high bandwidth scalability, making them widely used in various standards and systems such as multiple input multiple out radar [1], underwater communication [2], Wireless Local Area Networks [3], vehicle‐to‐everything communication [4], and 5G mobile communications [5]. Time delay (TD) estimation is one of the important techniques to achieve ranging [6] and localisation [7], which has the advantage of simple structure and high estimation accuracy. Angle of arrival (AOA) estimation is a main research direction in array signal processing, which is used to achieve direction finding [8] and localisation [9] with great localisation precision.…”

Section: Introductionmentioning

confidence: 99%

Fast joint estimation for time delay and angle of arrival based on smooth preprocessing with orthogonal frequency division multiplexing

Du¹,

Cui²,

Ba³

et al. 2022

IET Radar Sonar & Navi

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In order to solve the problems of high complexity and absence of adaptability with the joint estimation for time delay (TD) and angle of arrival (AOA) in coherent multipath environments, a fast estimation algorithm based on orthogonal frequency division multiplexing (OFDM) technique is proposed. First, we combine OFDM signal characteristics with array features to obtain extended arrays. Then, we obtain the channel frequency domain response covariance matrices for TD and AOA estimation separately by smoothing preprocessing in the spatial and frequency domains, respectively. Finally, we estimate the TD values by a one‐dimensional (1‐D) spectral peak search, as well as determine the closed‐form solution for AOA by Unitary‐ESPRIT. In comparison with previous work, the proposed algorithm not only improves the adaptability in correlated or mixed multipath environments but also significantly reduces the complexity. The simulation results show the effectiveness and robustness of the proposed joint estimation algorithm.

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An Improved ToA Ranging Scheme for Localization in Underwater Acoustic Sensor Networks

Cited by 2 publications

References 8 publications

Performance Comparison of ToA and TDOA Based Tracking In Underwater Multipath Environments Using Bernoulli Filter

Performance Comparison of ToA and TDOA Based Tracking In Underwater Multipath Environments Using Bernoulli Filter

Fast joint estimation for time delay and angle of arrival based on smooth preprocessing with orthogonal frequency division multiplexing

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