TY - GEN
T1 - Biologically inspired coupled antenna array for direction of arrival estimation
AU - Akcakaya, Murat
AU - Muravchik, Carlos H.
AU - Nehorai, Arye
PY - 2010
Y1 - 2010
N2 - 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 pre-specified 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 use Monte Carlo numerical examples to demonstrate the advantages of the coupling effect.
AB - 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 pre-specified 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 use Monte Carlo numerical examples to demonstrate the advantages of the coupling effect.
UR - http://www.scopus.com/inward/record.url?scp=79958012478&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2010.5757883
DO - 10.1109/ACSSC.2010.5757883
M3 - Conference contribution
AN - SCOPUS:79958012478
SN - 9781424497218
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1961
EP - 1965
BT - Conference Record of the 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
T2 - 44th Asilomar Conference on Signals, Systems and Computers, Asilomar 2010
Y2 - 7 November 2010 through 10 November 2010
ER -