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...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2011-10, Vol.59 (10), p.4795-4808
Main Authors: Akcakaya, M., Muravchik, C. H., Nehorai, A.
Format: Article
Language:English
Subjects:
Antenna arrays
Antenna measurements
Applied sciences
Array signal processing
Arrays
biologically inspired sensing
Computer simulation
Couplings
Detection, estimation, filtering, equalization, prediction
Differential equations
Direction of arrival estimation
DOA estimation
Ear
Errors
Estimation
Exact sciences and technology
Information, signal and communications theory
Joining
Miscellaneous
Monte Carlo methods
Position (location)
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
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Summary: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.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2011.2160056