Echolocation of flying insects by using the frequency modulated sound
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1
Tohoku Gakuin University, Department of Information Science, Japan
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2
Forestry and Forest Products Research Institute, Japan
Using the echolocation, bats can capture insects in real 3D space. Bats emit the frequency modulation sound and can accurately localize these objects from echoes. The object’s range could be estimated from delay times between the emitted sound and echoes from objects. In the case of flying insects, the echoes were influenced by Doppler shift, that is, the wing beats and flight speed. In the case of using the linear frequency modulated (LFM) sound, this range accuracy was dependent on not only the frequency width of emitted sound but also the Doppler shift. It has been shown that the previous proposed model could accurately estimate each range of static objects by using the frequency modulation sound. However, it is unknown whether this model could estimate the living insect. In this study, the echoes were measured from the flying insect by emitting intermittently the LFM sounds. At the same time, the movements of the insects were measured by the high speed camera. The impulse responses and time-frequency pattern were computed by using the cross-correlation function and the convolution of the chirplet filters, respectively. The insect’s positions were estimated by using the proposed model from the time-frequency pattern. It was examined that the temporal changes of the insect’s position were estimated from these outputs.
Acknowledgements
The part of this research was supported by JST, CREST.
Keywords:
BAT,
Echolocation,
frequency modulation
Conference:
Tenth International Congress of Neuroethology, College Park. Maryland USA, United States, 5 Aug - 10 Aug, 2012.
Presentation Type:
Poster Presentation (see alternatives below as well)
Topic:
Sensory: Audition
Citation:
Matsuo
I and
Takanashi
T
(2012). Echolocation of flying insects by using the frequency modulated sound.
Conference Abstract:
Tenth International Congress of Neuroethology.
doi: 10.3389/conf.fnbeh.2012.27.00179
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Received:
28 Apr 2012;
Published Online:
07 Jul 2012.
*
Correspondence:
Dr. Ikuo Matsuo, Tohoku Gakuin University, Department of Information Science, Sendai, 9813193, Japan, matsuo@cs.tohoku-gakuin.ac.jp
Dr. Takuma Takanashi, Forestry and Forest Products Research Institute, Tsukuba, Japan, takanasi@affrc.go.jp