Biomimetic flow imaging with an artificial fish lateral line

BIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing

Volumn 2, Issue , 2008, Pages 269-276

  Nguyen, Nam ^a   Jones, Douglas ^a   Pandya, Saunvit ^a   Yang, Yingchen ^a   Chen, Nannan ^a   Tucker, Craig ^a   Liu, Chang ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

Adaptive beamforming; Artificial lateral line; Calibration; Capon beam forming; Cramer Rao lower bound; Flow imaging; MEMS sensor array

Indexed keywords

BEAMFORMING; BIOMIMETICS; CALIBRATION; COMPOSITE MICROMECHANICS; CONTROL THEORY; CRAMER-RAO BOUNDS; MEMS; MICROELECTROMECHANICAL DEVICES; SENSOR ARRAYS; SENSOR NETWORKS; SENSORS; SIGNAL PROCESSING; THREE DIMENSIONAL; UNDERWATER IMAGING;

ADAPTIVE BEAMFORMING; ARTIFICIAL LATERAL LINE; CAPON BEAM-FORMING; CRAMER-RAO LOWER BOUND; FLOW IMAGING;

ADAPTIVE ALGORITHMS;

EID: 55649095272     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Bai, E. and Liu, Y. (2006). Least squares solutions of bilinear equations. Systems & Control Letters, 55(6):466-472.
2. Capon, J. (1969). High-resolution frequency-wavenumber spectrum analysis. Proceedings of the IEEE, 57(8):1408-1418.
3. Chen, J., Fan, Z., Zou, J., Engel, J., and Liu, C. (2003). Two-dimensional micromachined flow sensor array for fluid mechanics studies. Journal of Aerospace Engineering, 16:85.
4. Chen, J. and Liu, J. (2003). Development of polymer-based artificial haircell using surface micromachining and 3D assembly. TRANSDUCERS, Solid-State Sensors, Actuators and Microsystems, 12th International Conference on, 2003, 2.
5. Coombs, S. (1994). Nearfield detection of dipole sources by the Goldfish (CARASSIUS AURATUS) and the Mottled Sculpin (COITUS BAIRDI). Journal of Experimental Biology, 190:109-129.
6. Coombs, S. (2003). Dipole 3d user guide. Technical report.
7. Coombs, S. and Conley, R. (1997). Dipole source localization by mottled sculpin. I-III. Journal of Comparative Physiology A: Sensory, Neural, and Behavioral Physiology, 180(4):387-399.
8. Curcic-Blake, B. and van Netten, S. (2006). Source location encoding in the fish lateral line canal. Journal of Experimental Biology, 209(8): 1548-1559.
9. Dijkgraaf, S. (1963). The functioning and significance of lateral-line organs. Biology Review, 38:51-105.
10. Fan, Z., Chen, J., Zou, J., Bullen, D., Liu, C., and Delcomyn, F. (2002). Design and fabrication of artificial lateral line flow sensors. Journal of Micromechanics and Microengineering, 12(5):655-661.
11. Golub, G. and Pereyra, V. (1973). The differentiation of pseudo-inverses and nonlinear least squares problems whose variables separate. SIAM Journal on Numerical Analysis, 10(2):413-432.
12. Pandya, S., Yang, Y., Jones, D., Engel, J., and Liu, C. (2006). Multisensor processing algorithms for under-water dipole localization and tracking using MEMS artificial lateral-line sensors. EURASIP Journal on Applied Signal Processing.
13. Pandya, S., Yang, Y., Liu, C., and Jones, D. (2007). Biomimetic imaging of flow phenomena. Proceeding of Acoustics, Speech and Signal Processing, 2007. ICASSP 2007, 2:II-933 -II-936.
14. Pitcher, T. Patridge, B. and Wardle, C. (1976). A blind fish can school. Science, 194:963-965.
15. Poor, V. (1988). An Introduction to Signal Detection and Estimation. Springer-Verlag.
16. Yang, Y., Chen, N., Tucker, C., Engel, J., Pandya, S., and Liu, C. (2007). From artificial haircell sensor to artificial lateral line system: development and application. MEMS 2007 20th IEEE International Conference on Micro Electro Mechanical Systems, Kobe, Japan.