Distributed 3D Source Localization from 2D DOA Measurements Using Multiple Linear Arrays

Canclini, Antonio; Antonacci, Fabio; Sarti, Augusto; Tubaro, Stefano

doi:10.1155/2017/1049141

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…Devices exploited for ad hoc networks are typically equipped with compact microphone arrays, such that the range between the node's sensors and sources in the acoustic far field is difficult to determine. Sound-source localization, therefore, may only resort to estimates of the source direction-of-arrivals (DoAs) [12]- [14]. Furthermore, reverberation and noise often lead to missing and false DoA estimates as well as estimation errors [15], [16].…”

Section: Introductionmentioning

confidence: 99%

DoA Reliability for Distributed Acoustic Tracking

Evers

Habets

Gannot

et al. 2018

IEEE Signal Process. Lett.

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Distributed acoustic tracking estimates the trajectories of source positions using an acoustic sensor network. As it is often difficult to estimate the source-sensor range from individual nodes, the source positions have to be inferred from the direction-of-arrival (DoA) estimates. Due to reverberation and noise, the sound field becomes increasingly diffuse with increasing source-sensor distance, leading to a decreased Direction of Arrival (DoA)-estimation accuracy. To distinguish between accurate and uncertain DoA estimates, this letter proposes to incorporate the coherent-to-diffuse ratio as a measure of DoA reliability for singlesource tracking. It is shown that the source positions, therefore, can be probabilistically triangulated by exploiting the spatial diversity of all nodes.

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Section: Introductionmentioning

confidence: 99%

DoA Reliability for Distributed Acoustic Tracking

Evers

Habets

Gannot

et al. 2018

IEEE Signal Process. Lett.

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“…Position of the source is related to some metric of measurement. These measurements are fall into several categories, in which the localization solutions are based on different types of physical measures: Time of Arrival (TOA) [1], [2],Time Difference of Arrival (TDOA) [3]- [6], Direction of Arrival (DOA) [7]- [9]; and Received Signal Strength (RSS) or Energy [10], [11].…”

Section: Related Workmentioning

confidence: 99%

Received Signal Strength Based Wireless Source Localization with Inaccurate Anchor Position

Liu¹,

Han²,

Wang³

et al. 2019

Preprint

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Received signal strength(RSS)-based approach of wireless localization is easy to implement at low cost. In practice, exact positions of anchors may not be available. This paper focuses on determining the location of the source in the presence of inexact position of anchors based on RSS directly. This study at first uses Taylor expansion and a min-max approach to get the approximate maximum likelihood estimator of the source coordinates. Then this paper proposes a relaxed semi-definite programming model to circumvent the non-convexity. This paper also proposes a rounding algorithm concerning both the inexact source location and the inaccurate anchor location. Experimental results together with analysis are presented to validate the proposed method

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“…The antenna faces the restrictions of creating effective performance under structure errors. Therefore, it is necessary to explore deeply the coupling relationship between structure error and electromagnetic performance for active phased array antenna with the effect of randomness in element position [10][11][12]. The present works for analyzing the effect of structure error on electromagnetic performance of array antenna are carried out mainly from the following three aspects.…”

Section: Introductionmentioning

confidence: 99%

Effect of Randomness in Element Position on Performance of Communication Array Antennas in Internet of Things

Wang

Yang

et al. 2018

Wireless Communications and Mobile Computing

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As a critical component for wireless communication, active phased array antennas face the restrictions of creating effective performance with the effect of randomness in the position of the array element, which are inevitably produced in the manufacturing and operating process of antenna. A new method for efficiently and effectively evaluating the statistic performance of antenna is presented, with consideration of randomness in element position. A coupled structural-electromagnetic statistic model for array antenna is proposed from the viewpoint of electromechanical coupling. Lastly, a 12×12 planar array is illustrated to evaluate the performance of antenna with the saddle-shaped distortion and random position error. The results show that the presented model can obtain the antenna performance quickly and effectively, providing an advantageous guidance for structural design and performance optimization for array antennas in wireless application.

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Distributed 3D Source Localization from 2D DOA Measurements Using Multiple Linear Arrays

Cited by 6 publications

References 21 publications

DoA Reliability for Distributed Acoustic Tracking

DoA Reliability for Distributed Acoustic Tracking

Received Signal Strength Based Wireless Source Localization with Inaccurate Anchor Position

Effect of Randomness in Element Position on Performance of Communication Array Antennas in Internet of Things

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