Aircraft flight parameter estimation using acoustical Lloyd's mirror effect

Lo, K.W.; Perry, Stuart; Ferguson, Brian G.

doi:10.1109/7.993235

Cited by 34 publications

(15 citation statements)

References 19 publications

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“…However, in the test case, the distance between the primary source and the error microphone approximates to the distance between the primary source and the reference microphone producing a small difference of frequency Doppler stretch between them of only 0.0023 in the worst case; therefore the reference and error signals should be very similar. The loss of coherence can also be caused by soil-reflection interferences [27] and (less probable) the effect of wind-induced noise [28]. Another reason is that the reference microphone is in semi-free field conditions (above a reflecting plane) whereas the error microphone is in modal conditions (strongly influenced by the first modes of the room), so that the coherence is low between the two microphones at low frequencies, but tends to increase at higher frequencies since the room modes have a more diffuse and damped influence.…”

Section: Resultsmentioning

confidence: 99%

Active control of aircraft fly-over sound transmission through an open window

et al. 2014

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Section: Resultsmentioning

confidence: 99%

Active control of aircraft fly-over sound transmission through an open window

et al. 2014

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“…(12)-(14) for a specified sensor time t. This value of s is then substituted into Eqs. (10) and (11), which together with Eqs. (13) and (14) and (6) …”

Section: Delay Modelmentioning

confidence: 95%

“…Previous work which exploited multipath propagation for flight parameter estimation used destructive-interference frequency or multipath delay measurements from a single sensor (which is only able to provide estimates of a subset of flight parameters) [10][11][12] or multipath delay measurements from an array of widely separated sensors (which is able to provide estimates of the complete set of flight parameters), 13 where multipath delay is the DTOA of the direct path signal and the ground-reflected path signal at a given sensor. Using multipath delay measurements from the individual sensors of a large aperture array only eliminates the first two limitations and the strict time-synchronization requirement of the conventional time delay-based method mentioned above.…”

Section: Introductionmentioning

confidence: 99%

Flight parameter estimation using time delay and intersensor multipath delay measurements from a small aperture acoustic array

2013

The Journal of the Acoustical Society of America

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A ground-based acoustic sensor array can be used to estimate the complete set of flight parameters of a jet aircraft or other airborne source of broadband sound in transit by measuring the differential time of arrival (DTOA), or the time delay, of the direct path signal at each sensor pair of the array over a sufficiently long period of time. This paper studies the possibility of using intersensor multipath delay measurements to improve the precision of the flight parameter estimates for a small aperture array, without increasing the array's intersensor spacing or the observation time for more time delay measurements. Intersensor multipath delay is defined as the DTOA of the direct path signal at one sensor and the ground-reflected path signal at another sensor. The flight parameter estimation algorithm is formulated and a simplified Cramer-Rao lower bound error analysis is presented, which shows that the standard deviations in the flight parameter estimates are greatly reduced when intersensor multipath delay measurements are used together with time delay measurements. The effectiveness of the proposed flight parameter estimation method for small aperture arrays is verified using both simulated and real data.

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“…The methods developed for propeller driven aircraft take advantage of the Doppler effect and require one single microphone [1][2][3] or a distributed array of microphones [4]. The methods developed for jet aircraft use the time differences between a microphone array [3,5], the interference between the direct and ground reflected sounds [6,7] or both [8].…”

Section: Introductionmentioning

confidence: 99%

Aircraft localization using a passive acoustic method. Experimental test

Martin

Genescà

Garbí

et al. 2016

Aerospace Science and Technology

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UPCommonsPortal del coneixement obert de la UPC http://upcommons.upc.edu/e-prints Please check your proof carefully and mark all corrections at the appropriate place in the proof (e.g., by using on-screen annotation in the PDF file) or compile them in a separate list. Note: if you opt to annotate the file with software other than Adobe Reader then please also highlight the appropriate place in the PDF file. To ensure fast publication of your paper please return your corrections within 48 hours. A passive acoustic method for aircraft localization is experimentally tested in this paper. The method relies on the Doppler effect influencing the signals received by a mesh of microphones distributed over the acoustic area of interest. The relative Doppler stretch factors between the microphone signals are estimated using a one-dimensional version of the Ambiguity function. Then, a Genetic Algorithm is used to solve the non-linear system of equations that relates the aircraft's position and velocity to this relative stretch factors. This method is used in this study to locate a radio controlled airplane equipped with a Global Positioning System (GPS). Seven microphones are distributed in the airfield area. Although the localization errors are influenced by the uncertainty in the microphones position, the acoustic system succeeds at locating the airplane.

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Aircraft flight parameter estimation using acoustical Lloyd's mirror effect

Cited by 34 publications

References 19 publications

Active control of aircraft fly-over sound transmission through an open window

Active control of aircraft fly-over sound transmission through an open window

Flight parameter estimation using time delay and intersensor multipath delay measurements from a small aperture acoustic array

Aircraft localization using a passive acoustic method. Experimental test

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