Effective Acoustic Energy Sensing Exploitation for Target Sources Localization in Urban Acoustic Scenes

Alves, M.; Coelho, R.; Dranka, Eloi

doi:10.1109/lsens.2019.2960888

Cited by 6 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While camera-based solutions [13], [14] are typical examples, their computational intensity, high data rates, and privacy concerns arise due to the requirement for high-resolution images. To address these limitations, acoustic and ultrasonic systems [15], [16] typically solve such drawbacks but utilize signals with distinct propagation characteristics and frequencies whose performance is easily corrupted by environmental noise. Alternatively, RF-based DFL systems have gained prominence as they monitor the target area by measuring changes in the radio channel spectrum leveraging received signal strength indicator (RSSI), channel state information (CSI), or channel impulse responses (CIRs) that enable the detection and tracking of moving entities [17], [18].…”

Section: Introductionmentioning

confidence: 99%

UWB Bistatic Radar Sensor: Across Channels Evaluation

Santoro,

Nardello,

Fontanelli

et al. 2023

IEEE Sens. Lett.

View full text Add to dashboard Cite

Device-Free localization is a promising technique for indoor positioning in infrastructures, as it eliminates the reliance on custom and costly hardware. In this study, we present the development of a compact and cost-effective bistatic radar sensor that utilizes DW3000 UWB transceivers. The effectiveness of the sensor was evaluated through comprehensive assessments of various channels, with particular emphasis on channel 9, employing Channel Impulse Response analysis. To enhance the accuracy of time delay estimation for multipath components scattered by moving targets, we developed a weighting function. The experimental results demonstrate the potential of device-free localization sensors as a viable solution for indoor positioning systems, offering enhanced accessibility and cost reduction compared to traditional approaches.

show abstract

Section: Introductionmentioning

confidence: 99%

UWB Bistatic Radar Sensor: Across Channels Evaluation

Santoro,

Nardello,

Fontanelli

et al. 2023

IEEE Sens. Lett.

View full text Add to dashboard Cite

show abstract

“…As is well-known that source localization techniques have been widely used in fields such as wireless communication, navigation, source monitoring, air traffic control, security management, and many others [1]- [4], which are important for both industrial production and national defense security.…”

Section: Introductionmentioning

confidence: 99%

A Closed-Form Solution for 3D Source Localization Using Angles and Doppler Shifted Frequencies

Jiandong,

Ting,

Lijuan

2023

IEEE Access

View full text Add to dashboard Cite

Moving source localization in 3-D space using frequencies of arrival (FOA) have recently made significant progress with the development of closed-form solutions. However, the closed-form solution algorithms for source localization using FOA only introduces a large number of auxiliary variables and results in a significant jump in the minimum number of receivers. In order to overcome the inherent defect of source localization using FOA measurements only, we address locating the moving source by jointly using AOA and FOA measurements in this article. A closed-form solution is designed for AOA-FOA based source localization, where the AOA and FOA measurement noises, the carry frequency error, as well as the receiver location uncertainties are considered, and the two-stage weighted least squares (TSWLS) technique is applied to overcome the nonlinear relation between the measurements and the source location parameters. The proposed solution can give the source position and velocity estimate with much fewer receivers and nuisance parameters in comparison with the state-of-the-art FOA localization algorithm. The proposed solution is shown analytically and numerically to achieve the Cramer-Rao lower bound (CRLB) performance under small Gaussian noise conditions and outperform the FOA-only localization algorithm in terms of both CRLB and root mean square error under the same noise conditions.INDEX TERMS source localization, closed-form solution, frequency of arrival, angle of arrival, two-stage weighted least squares.

show abstract

Robust noise-power estimation via primal–dual algorithms with measurements from a subset of network nodes

Liu,

Zhao,

2024

Signal Processing

View full text Add to dashboard Cite

Effective Acoustic Energy Sensing Exploitation for Target Sources Localization in Urban Acoustic Scenes

Cited by 6 publications

References 11 publications

UWB Bistatic Radar Sensor: Across Channels Evaluation

UWB Bistatic Radar Sensor: Across Channels Evaluation

A Closed-Form Solution for 3D Source Localization Using Angles and Doppler Shifted Frequencies

Robust noise-power estimation via primal–dual algorithms with measurements from a subset of network nodes

Contact Info

Product

Resources

About