2018
DOI: 10.3390/s18010291
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Joint Bearing and Range Estimation of Multiple Objects from Time-Frequency Analysis

Abstract: Direction-of-arrival (DOA) and range estimation is an important issue of sonar signal processing. In this paper, a novel approach using Hilbert-Huang transform (HHT) is proposed for joint bearing and range estimation of multiple targets based on a uniform linear array (ULA) of hydrophones. The structure of this ULA based on micro-electro-mechanical systems (MEMS) technology, and thus has attractive features of small size, high sensitivity and low cost, and is suitable for Autonomous Underwater Vehicle (AUV) op… Show more

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Cited by 6 publications
(5 citation statements)
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“…(2) We propose an energy-based adaptive windowed method for further extracting the focusing term from the received signal after AVTR. (3) Simulation and experimental results have verified the effectiveness of the proposed method.…”
Section: (1)mentioning
confidence: 68%
See 1 more Smart Citation
“…(2) We propose an energy-based adaptive windowed method for further extracting the focusing term from the received signal after AVTR. (3) Simulation and experimental results have verified the effectiveness of the proposed method.…”
Section: (1)mentioning
confidence: 68%
“…High-precision ranging plays an important role in some information systems, such as sonar, radar, and communication system. Pulse ranging is a popular method to measure the distance between a target and an observed transducer [1][2][3]. This method is widely used for its simple implementation [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…In Reference [9], a novel approach using a Hilbert-Huang transform and a uniform linear array of hydrophones was proposed for the joint bearings and range estimation of multiple targets. The proposed method (for target location estimation) had a simple algorithm derived from the transformation of a very complicated nonlinear estimation problem.…”
Section: Of 14mentioning
confidence: 99%
“…In the long distance and low SNR environments, the correlation peak of the GCC algorithm is often difficult to detect automatically. Peak detection has already developed lots of different methods in the field of signal processing, such as window-threshold techniques [18], wavelet transform [19], Hilbert transform [20], and convolutional neural networks [21,22]. For the peek detection in underwater acoustic ranging, the window length and threshold value should be chosen properly in order to apply to the ocean conditions and the characteristics of the measured signal.…”
Section: Introductionmentioning
confidence: 99%