Aircraft tracking by means of the Acoustical Doppler Effect

The present paper presents a passive acoustic method for aircraft tracking. The Acoustical Doppler Effect, characteristic of signals received by a mesh of spatially distributed microphones is the basis of the method. A one-dimensional version of the Ambiguity function permits the calculation of the frequency stretch factor that exists between the sound signals received by a pair of microphones. The expression for this frequency stretch is a function of the aircraft position and velocity which are estimated by a Genetic Algorithm. The method is suitable for all kinds of aircraft and requires only seven microphones plus the prior knowledge of only the aircraft position and velocity at a given time. Results are given for a simulation test of a 3D straight trajectory of the aircraft and for a sound-propagation model which considers geometrical spreading and atmospheric absorption of sound for a homogeneous medium. The influence of the atmospheric absorption is evaluated and the independence of the method with respect to microphone distribution is proven. The performance of the tracking method has also been evaluated in front of possible inaccuracy on the microphones synchronization.

[1]  Brian G. Ferguson,et al.  Time-delay estimation techniques applied to the acoustic detection of jet aircraft transits , 1999 .

[2]  Huawei Chen,et al.  On locating low altitude moving targets using a planar acoustic sensor array , 2003 .

[3]  Brian G. Ferguson,et al.  Application of the short‐time Fourier transform and the Wigner–Ville distribution to the acoustic localization of aircraft , 1994 .

[4]  K. W. Lo,et al.  Flight path estimation using frequency measurements from a wide aperture acoustic array , 2001 .

[5]  Jürgen Altmann,et al.  Medium-range localisation of aircraft via triangulation , 2000 .

[6]  L. G. Weiss Wavelets and wideband correlation processing , 1994, IEEE Signal Processing Magazine.

[7]  B G Ferguson,et al.  Variability in the passive ranging of acoustic sources in air using a wavefront curvature technique. , 2000, The Journal of the Acoustical Society of America.

[8]  D. E. Dudgeon Wideband Array Processing For Acoustic Detection and Tracking Of Aircraft/sup */ , 1985, Nineteeth Asilomar Conference on Circuits, Systems and Computers, 1985..

[9]  E. J. Kelly,et al.  Matched-Filter Theory for High-Velocity, Accelerating Targets , 1965, IEEE Transactions on Military Electronics.

[10]  Zhi-Quan Luo,et al.  The estimation of time delay and Doppler stretch of wideband signals , 1995, IEEE Trans. Signal Process..

[11]  Nikolaos K. Uzunoglu,et al.  Architecture of a multistatic FMCW direction-finding radar , 2008 .

[12]  Jordi Romeu,et al.  Real time aircraft fly-over noise discrimination , 2009 .

[13]  S. Nardone,et al.  Estimation of location and motion parameters of a moving source observed from a linear array , 1981 .

[14]  Philippe Baptiste,et al.  On scheduling a multifunction radar , 2007 .

[15]  Ann P. Dowling,et al.  Sound and Sources of Sound , 1983 .

[16]  Yiu-Tong Chan,et al.  Wavelet based approach for joint time delay and Doppler stretch measurements , 1999 .

[17]  T. Pàmies,et al.  Passive Acoustic Method for Tracking Moving Sound Sources , 2011 .

[18]  Brian G. Ferguson,et al.  Broadband passive acoustic technique for target motion parameter estimation , 2000, IEEE Trans. Aerosp. Electron. Syst..

[19]  Arye Nehorai,et al.  Wideband source localization using a distributed acoustic vector-sensor array , 2003, IEEE Trans. Signal Process..

[20]  B. Ferguson A ground-based narrow-band passive acoustic technique for estimating the altitude and speed of a propeller-driven aircraft , 1992 .

[21]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[22]  F. M. Dommermuth A simple procedure for tracking fast maneuvering aircraft using spatially distributed acoustic sensors , 1987 .

[23]  F. Dommermuth,et al.  Estimating the trajectory of an accelerationless aircraft by means of a stationary acoustic sensor , 1984 .

[24]  K. W. Lo,et al.  Aircraft flight parameter estimation using acoustic multipath delays , 2003 .