Explosive sound source localization in indoor and outdoor environments using modified Levenberg Marquardt algorithm

Mahapatra, Chinmayi; Mohanty, Amiya Ranjan

doi:10.1016/j.measurement.2021.110362

Cited by 9 publications

(6 citation statements)

References 51 publications

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“…There are three main mathematical methods for determining the sound source. These include triangulation, trilateration, and multilateration [51]. They are described below:…”

Section: Classic Methodsmentioning

confidence: 99%

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A Survey of Sound Source Localization and Detection Methods and Their Applications

Jekateryńczuk,

Piotrowski

2023

Sensors

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This study is a survey of sound source localization and detection methods. The study provides a detailed classification of the methods used in the fields of science mentioned above. It classifies sound source localization systems based on criteria found in the literature. Moreover, an analysis of classic methods based on the propagation model and methods based on machine learning and deep learning techniques has been carried out. Attention has been paid to providing the most detailed information on the possibility of using physical phenomena, mathematical relationships, and artificial intelligence to determine sound source localization. Additionally, the article underscores the significance of these methods within both military and civil contexts. The study culminates with a discussion of forthcoming trends in the realms of acoustic detection and localization. The primary objective of this research is to serve as a valuable resource for selecting the most suitable approach within this domain.

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“…There are three main mathematical methods for determining the sound source. These include triangulation, trilateration, and multilateration [51]. They are described below:…”

Section: Classic Methodsmentioning

confidence: 99%

“…There are three main mathematical methods for determining the sound source. These include triangulation, trilateration, and multilateration [ 51 ]. They are described below: Triangulation—Employs the geometric characteristics of triangles for localization determination.…”

Section: Acoustic Source Detection and Localization Methodsmentioning

confidence: 99%

A Survey of Sound Source Localization and Detection Methods and Their Applications

Jekateryńczuk,

Piotrowski

2023

Sensors

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“…Generalized Opposition Learning (GOL) is a method that may be acquired after the exploration and exploitation phases are finished and used to successfully pinpoint the furthest area of the search area [56]. When the RL strategy is included in the GOL, it strengthens the GOL, and this vector is inclusive in the population [57]. Keep in mind that RL is incredibly adaptable and may quickly shift from its present achieving premature convergence and locality [51].…”

Section: Stage 5: Exploitation and Exploration Work Mechanismmentioning

confidence: 99%

Enhancing NoC-Based MPSoC Performance: A Predictive Approach With ANN and Guaranteed Convergence Arithmetic Optimization Algorithm

et al. 2023

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Context: Network-on-Chips (NoCs) serve as essential interconnection infrastructures in Multi-processor System-on-Chip (MPSoC) designs, emphasizing flexibility, extensibility, and low power consumption. The effectiveness of communication within NoCs relies heavily on the routing algorithm employed. However, the routing process faces significant challenges, such as deadlock, livelock, congestion, and faults, which impact the Design Space Exploration (DSE) process. Objective: In this research, we propose a prediction model-based ANN with a Metaheuristic Optimization approach for predicting the utilized routing algorithm by the NoC-based MPSoC platform during the DSE in order to reduce the time required to specify the NoC-based MPSoC platform configurations. Method: The main idea of the proposed method is to develop a prediction model, specifically an Artificial Neural Network (ANN) optimized using the Guaranteed Convergence Arithmetic Optimization Algorithm (GCAOA-ANN), for predicting the utilized routing algorithm in NoC-based MPSoC platform during the DSE process. The methodology consists of two phases. Firstly, an automated strategy is proposed to execute and control the NOXIM simulator, enabling the simulation and collection of NoC-based MPSoC scenarios under different constraints, rules of NoC design (including routing protocols), and performance metrics. Consequently, NoC traffic data is gathered. Secondly, building upon the work of previous researchers, who have suggested the development of hybrid models to improve accuracy, this research introduces a novel methodology incorporating an ANN optimized using the GCAOA-ANN to predict the routing algorithm employed by the NoC-based MPSoC. Results:The hybrid GCAOA-ANN model demonstrated superior performance compared to other models, including PSOGW-ANN, SMA-ANN, AOA-ANN, Random Forest, and ANN. Where the learning rate and the number of nodes in the first and second hidden layers were: (0.0023, 1, 20) for the GCAOA-ANN model. In addition, the evaluation metrics of the GCAOA-ANN model showed excellent results, with an R2 value of (99.80%), an RMSE of (0.0000135 m3/s), an MSE of (0.0000118 m3/s), an SI of (0.000077), an MBE of (0.0000028), and a MAR of (0.000187616 m3/s). Conclusion:The outcomes of this research are anticipated to offer a guide for individuals interested in conducting research on On-Chip communication routing protocols and DSE in NoC-based MPSoCs in the context of IoT using ML approaches, while the GCAOA-ANN has the potential to generalize to new problems.

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“…The projectile landing point localization is a necessary task in conventional weapon tests, and it is also one of the difficulties in shooting range tests [79]. In this section, the process of projectile landing is simulated, and the seismic wave signal is received by deploying the five-element cross sensor array.…”

Section: Simulation Of Source Localizationmentioning

confidence: 99%

A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival ^*

Bi¹,

Huang²,

Wang³

et al. 2023

Meas. Sci. Technol.

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In outdoor shooting range experiments, locating the projectile impact point is typically done through manual search, which can be time-consuming and costly. To improve experimental efficiency and reduce costs, this paper proposes a new approach for localizing the impact point using the dynamic mode decomposition (DMD) extension method and time difference of arrival (TDOA) based on seismic waves. The DMD extension method is applied to one-dimensional seismic signals. Additionally, diagonal averaging is applied to recover the reconstructed matrix, which could achieve better noise reduction than conventional singular value decomposition and empirical mode decomposition methods. Numerical simulations are then conducted to analyze the impact point positioning model, resulting in an absolute location error within 20 m in a 1000 m square area. The work demonstrates that the joint positioning algorithm combining on DMD and TDOA achieves high positioning accuracy, making it a promising tool for future experiments on outdoor shooting ranges.

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Explosive sound source localization in indoor and outdoor environments using modified Levenberg Marquardt algorithm

Cited by 9 publications

References 51 publications

A Survey of Sound Source Localization and Detection Methods and Their Applications

A Survey of Sound Source Localization and Detection Methods and Their Applications

Enhancing NoC-Based MPSoC Performance: A Predictive Approach With ANN and Guaranteed Convergence Arithmetic Optimization Algorithm

A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival ^*

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Explosive sound source localization in indoor and outdoor environments using modified Levenberg Marquardt algorithm

Cited by 9 publications

References 51 publications

A Survey of Sound Source Localization and Detection Methods and Their Applications

A Survey of Sound Source Localization and Detection Methods and Their Applications

Enhancing NoC-Based MPSoC Performance: A Predictive Approach With ANN and Guaranteed Convergence Arithmetic Optimization Algorithm

A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival *

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Product

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A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival ^*