Comparison of various time delay estimation methods by computer simulation

Fertner, Antoni; Sjolund, A.

doi:10.1109/tassp.1986.1164930

Cited by 64 publications

(36 citation statements)

References 9 publications

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“…It requires the other equation in order to track the correct source location. So we use the hyperbolic equation for TDOA (time difference of arrival) estimation [12] between distributed sensors. Finally, the cross point of the circle and International Journal of Distributed Sensor Networks the hyperbola can be estimated as the source location.…”

Section: Proposed Methodsmentioning

confidence: 99%

Passive Acoustic Source Tracking Using Underwater Distributed Sensors

Chun

Kim

2013

International Journal of Distributed Sensor Networks

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Passive acoustic source tracking using underwater distributed sensors has been a severe problem because of the complexity of the underwater channel and the limited resources of the sensors. In this paper, we propose an acoustic source tracking algorithm using underwater distributed sensors. According to the waveguide invariant theory, a slope of the interference pattern which is seen in a spectrogram is proportional to range of the acoustic source. The proposed algorithm matches the interference patterns at the distributed sensors and calculates a distance ratio between source and sensors. A locus of the source by the principal of the circle of Apollonius is estimated. The Apollonius circle, however, still keeps the ambiguity against the correct source location. In addition hyperbola equation is introduced into localization algorithm by estimating time difference of arrival between the received signals at the distributed sensors. Finally the cross point of the circle and hyperbola can be estimated as the position of the acoustic source. The proposed algorithm is tested on sea trial data for acoustic source ranges of 400-2,000 m and frequencies from 50 to 750 Hz. The results show that the proposed algorithm successfully estimates the source location within an error bound of 7.3%.

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Section: Proposed Methodsmentioning

confidence: 99%

Passive Acoustic Source Tracking Using Underwater Distributed Sensors

Chun

Kim

2013

International Journal of Distributed Sensor Networks

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“…Many survey publications review the known approaches for time delay estimation, for instance (Björklund & Ljung, 2003;Ferretti, Maffezzoni, & Scattolini, 1995;Fertner & Sjölund, 1986;O'Dwyer, , 1996O'Dwyer & Ringwood, 1999;Viola & Walker, 2003). In the following, several time delay estimation techniques are reviewed, which are not based on specific excitation scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…A very common approach for time delay estimation is the correlation technique, see Fertner and Sjölund (1986), Viola and Walker (2003), Barsanti and Tummala (2003), Benesty, Chen, and Huang (2004), Chen, Benesty, and Huang (2006), Dooley and Nandi (1998), , Grennberg and Sandell (1994), Hertz (1986), Jacovitti and Scarano (1993), Knapp and Carter (1976), Mamat and Fleming (1995), Najafi, Zekri, and Askari (2010), Ni, Shah, and Xiao (2008), Ni, Xiao, and Shah (2010), Nikias and Pan (1988), Park and Nam (2002), Rad, Lo, and Tsang (2003), Tabaru (2007) for examples thereof. The correlation technique is usually applied offline using a batch of input and output data or in a quasi-online way using a moving window data batch.…”

Section: Introductionmentioning

confidence: 99%

Recursive parameter estimation of exhaust gas oxygen sensors with input-dependent time delay and linear parameters

Moser

Onder

Guzzella

2015

Control Engineering Practice

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“…This method keeps high accuracy comparing with other method [8] [9]. It only uses subtraction operations to get TDOA and expected to reduce design complexity.…”

Section: Introductionmentioning

confidence: 98%

A Long-Distance Time Domain Sound Localization

Wang

Chen

et al.

Ubiquitous Intelligence and Computing

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Abstract. This paper presents a computer simulation of a long distance time domain sound source localization algorithm that localizes a single sound source by using two separated channel microphones. This paper uses the TimeDifference-Of-Arrival (TDOA) method for estimating the time delay difference between the incoming sound signals to microphones using the AverageMagnitude-Difference-Function (AMDF) algorithm. This algorithm has the main advantage of requiring no multiplication operations. The key design objectives are to reduce hardware circuit complexity and implement the algorithm on FPGA board. The computer simulation results have average error within 8° of accuracy in 1 to 5 meters.

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Comparison of various time delay estimation methods by computer simulation

Cited by 64 publications

References 9 publications

Passive Acoustic Source Tracking Using Underwater Distributed Sensors

Passive Acoustic Source Tracking Using Underwater Distributed Sensors

Recursive parameter estimation of exhaust gas oxygen sensors with input-dependent time delay and linear parameters

A Long-Distance Time Domain Sound Localization

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