Steady-Motion-Based Dopplerlet Transform: Application to the Estimation of Range and Speed of a Moving Sound Source

Zou, Hongxing; Chen, Yongqiang; Zhu, Jihong; Dai, Qionghai; Wu, Guo‐Rong; Li, Y.

doi:10.1109/joe.2004.833229

Cited by 29 publications

(16 citation statements)

References 20 publications

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“…For an explicit comparison, we tabulate in Tab.2 the experimental results using different estimation methods. Note that for Dopplerlet transform [3] , the estimation precision of height is 2% and that of speed is 0.5%, which are more precise than those of the measured results.…”

Section: Single-engine Jet Planementioning

confidence: 63%

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Aircraft motion parameter estimation via multipath time-delay using a single ground-based passive acoustic sensor

Dai

Zou

2007

J. of Electron.(China)

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The time-frequency analysis of the signal acquired by a single ground-based microphone shows a two-dimensional interference pattern in the time-frequency plane, which is caused by the time delay of the received signal emitted from a low flying aircraft via the direct path and the ground-reflected path. A model is developed for estimating the motion parameters of an aircraft flying along a straight line at a constant height and with a constant speed. Monte Carlo simulation results and experimental results are presented to validate the model, and an error analysis of the model is presented to verify the effectiveness of the estimation scheme advocated.

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Section: Single-engine Jet Planementioning

confidence: 63%

“…(For an easy reference of how to calculate the sound speed, see Appendix C.A of Ref. [3]). Following the estimation procedures stated in the above sections, we obtain the fitted cepstrum curve shown in Fig.5.…”

Section: Single-engine Jet Planementioning

confidence: 99%

Aircraft motion parameter estimation via multipath time-delay using a single ground-based passive acoustic sensor

Dai

Zou

2007

J. of Electron.(China)

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“…Other possible solutions were proposed by Qian and Chen 15 and Mallat and Zhang 16 who introduced a matching pursuit algorithm on transitory signals, which adaptively decomposes any signal into a linear combination of best-matched basis functions that are selected from a dictionary of Gabor atoms. Zou et al 17 also extended some earlier results on steadymotion based Dopplerlet transform to estimate the range and speed of a moving source. In a previous work, we analyzed the wideband ambiguity function (WAF) and proposed a uniform motion compensation, 4 which estimated a motioncompensated IR under the condition that the depth of the propagation channel can be neglected when compared to its length (i.e., for long-range propagation and shallow water environment).…”

Section: Introductionmentioning

confidence: 77%

Source motion detection, estimation, and compensation for underwater acoustics inversion by wideband ambiguity lag-Doppler filtering

Josso

Ioana

Mars

et al. 2010

The Journal of the Acoustical Society of America

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Acoustic channel properties in a shallow water environment with moving source and receiver are difficult to investigate. In fact, when the source-receiver relative position changes, the underwater environment causes multipath and Doppler scale changes on the transmitted signal over low-to-medium frequencies (300 Hz-20 kHz). This is the result of a combination of multiple paths propagation, source and receiver motions, as well as sea surface motion or water column fast changes. This paper investigates underwater acoustic channel properties in a shallow water (up to 150 m depth) and moving source-receiver conditions using extracted time-scale features of the propagation channel model for low-to-medium frequencies. An average impulse response of one transmission is estimated using the physical characteristics of propagation and the wideband ambiguity plane. Since a different Doppler scale should be considered for each propagating signal, a time-warping filtering method is proposed to estimate the channel time delay and Doppler scale attributes for each propagating path. The proposed method enables the estimation of motion-compensated impulse responses, where different Doppler scaling factors are considered for the different time delays. It was validated for channel profiles using real data from the BASE'07 experiment conducted by the North Atlantic Treaty Organization Undersea Research Center in the shallow water environment of the Malta Plateau, South Sicily. This paper provides a contribution to many field applications including passive ocean tomography with unknown natural sources position and movement. Another example is active ocean tomography where sources motion enables to rapidly cover one operational area for rapid environmental assessment and hydrophones may be drifting in order to avoid additional flow noise.

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“…Given that the basis of the narrow-band technique is the acoustical Doppler effect, this technique can also be used to estimate the motion parameters of an underwater source. Zou et al [11] defined the steady-motion-based Dopplerlet transform and used it to analyze an underwater moving source. The motion parameters can be directly estimated by matching the received Doppler signal with Dopplerlet atoms.…”

Section: Introductionmentioning

confidence: 99%

Parameter estimation of underwater moving sources by using matched Wigner transform

Yang

2016

Applied Acoustics

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Steady-Motion-Based Dopplerlet Transform: Application to the Estimation of Range and Speed of a Moving Sound Source

Cited by 29 publications

References 20 publications

Aircraft motion parameter estimation via multipath time-delay using a single ground-based passive acoustic sensor

Aircraft motion parameter estimation via multipath time-delay using a single ground-based passive acoustic sensor

Source motion detection, estimation, and compensation for underwater acoustics inversion by wideband ambiguity lag-Doppler filtering

Parameter estimation of underwater moving sources by using matched Wigner transform

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