Biologically Inspired Coupled Antenna Array for Direction-of-Arrival Estimation

We propose to design a small-size antenna array having high direction-of-arrival (DOA) estimation performance, inspired by the Ormia ochracea's coupled ears. The female Ormia is able to locate male crickets' call accurately, for reproduction purposes, despite the small distance between its ears compared with the incoming wavelength. This phenomenon has been explained by the mechanical coupling between the Ormia's ears, modeled by a pair of differential equations. In this paper, we first solve the differential equations governing the Ormia ochracea's ear response, and convert the response to the prespecified radio frequencies. Using the converted response, we then implement the biologically inspired coupling as a multi-input multi-output filter on a uniform linear antenna array output. We derive the maximum likelihood estimates of source DOAs, and compute the corresponding Cramér-Rao bound on the DOA estimation error as a performance measure. We also consider a circular array configuration and compute the mean-square angular error bound on the three-dimensional localization accuracy. Moreover, we propose an algorithm to optimally choose the biologically inspired coupling for maximum localization performance. We use Monte Carlo numerical examples to demonstrate the advantages of the coupling effect.

[1]  Ioannis Pavlidis,et al.  Urban surveillance systems: from the laboratory to the commercial world , 2001, Proc. IEEE.

[2]  Aleksandar Dogandzic,et al.  Cramer-Rao bounds for estimating range, velocity, and direction with an active array , 2001, IEEE Trans. Signal Process..

[3]  Jacob Benesty,et al.  Robust time delay estimation exploiting redundancy among multiple microphones , 2003, IEEE Trans. Speech Audio Process..

[4]  Andreas R. Brenner,et al.  Radar Imaging of Urban Areas by Means of Very High-Resolution SAR and Interferometric SAR , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[5]  G. Carter,et al.  The generalized correlation method for estimation of time delay , 1976 .

[6]  Nicholas J. Redding,et al.  Urban video surveillance from airborne and ground-based platforms , 2005 .

[7]  Petre Stoica,et al.  Maximum likelihood methods for direction-of-arrival estimation , 1990, IEEE Trans. Acoust. Speech Signal Process..

[8]  Andrew C. Mason,et al.  Hyperacute directional hearing in a microscale auditory system , 2001, Nature.

[9]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[10]  R. Miles,et al.  Mechanically coupled ears for directional hearing in the parasitoid fly Ormia ochracea. , 1995, The Journal of the Acoustical Society of America.

[11]  H. Ward Radar reflectivity of land and sea , 1976, Proceedings of the IEEE.

[12]  G. Carter,et al.  On the simulation of a class of time delay estimation algorithms , 1981 .

[13]  Bjorn Ottersten,et al.  Exact and Large Sample ML Techniques for Parameter Estimation and Detection in Array Processing , 1993 .

[14]  William H. Cade,et al.  Acoustically Orienting Parasitoids: Fly Phonotaxis to Cricket Song , 1975, Science.

[15]  G. C. Carter,et al.  The smoothed coherence transform , 1973 .

[16]  P. Stoica,et al.  On the concentrated stochastic likelihood function in array signal processing , 1995 .

[17]  R. Miles,et al.  Directional hearing by mechanical coupling in the parasitoid fly Ormia ochracea , 2004, Journal of Comparative Physiology A.

[18]  Murat Akcakaya,et al.  Performance analysis of the Ormia ochracea's coupled ears. , 2008, The Journal of the Acoustical Society of America.

[19]  Peter R. Roth,et al.  Effective measurements using digital signal analysis , 1971, IEEE Spectrum.

[20]  R R Hoy,et al.  The evolutionary convergence of hearing in a parasitoid fly and its cricket host. , 1992, Science.

[21]  Petre Stoica,et al.  Performance study of conditional and unconditional direction-of-arrival estimation , 1990, IEEE Trans. Acoust. Speech Signal Process..

[22]  E. J. Hannan,et al.  Estimating group delay , 1973 .

[23]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[24]  D. Robert,et al.  The tympanal hearing organ of the parasitoid fly Ormia ochracea (Diptera, Tachinidae, Ormiini) , 2004, Cell and Tissue Research.

[25]  R. N. Miles,et al.  Tympanal mechanics in the parasitoid fly Ormia ochracea : intertympanal coupling during mechanical vibration , 1998, Journal of Comparative Physiology A.

[26]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[27]  R. Bansal,et al.  Antenna theory; analysis and design , 1984, Proceedings of the IEEE.

[28]  Carl Eckart Optimal Rectifier Systems for the Detection of Steady Signals , 1952 .

[29]  A. Quazi An overview on the time delay estimate in active and passive systems for target localization , 1981 .

[30]  Arye Nehorai,et al.  Vector-sensor array processing for electromagnetic source localization , 1994, IEEE Trans. Signal Process..

[31]  Y. Bar-Shalom Tracking and data association , 1988 .

[32]  P. Stoica,et al.  Maximum likelihood methods in radar array signal processing , 1998, Proc. IEEE.

[33]  Arye Nehorai,et al.  Identifiability in array processing models with vector-sensor applications , 1996, IEEE Trans. Signal Process..