Biomimetic flow imaging with an artificial fish lateral line

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Almost all fish possess a flow-sensing system along their body, called the lateral line, that allows them to perform various behaviours such as schooling, preying, and obstacle or predator avoidance. Inspired from this, our group has built artificial lateral lines from newly-developed flow sensors using Micro-Electro-Mechanical Systems (MEMS) technology. To make our lateral line a functional sensory system, we develop an adaptive beamforming algorithm (applying Capon's method) that provides our lateral line with the capability of imaging the locations of oscillating dipoles in a 3D underwater environment. To help our sensor arrays adapt to the environment for better performance, we introduce a self-calibration algorithm that significantly improves the image accuracy. Finally, we derive the Cramer-Rao Lower Bound (CRLB) that represents the fundamental perfomance limit of our system and provides guidance in optimizing artificial lateral-line systems.

Original languageEnglish (US)
Title of host publicationBIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing
Pages269-276
Number of pages8
Volume2
StatePublished - Nov 13 2008
EventBIOSIGNALS 2008 - 1st International Conference on Bio-inspired Systems and Signal Processing - Funchal, Madeira, Portugal
Duration: Jan 28 2008Jan 31 2008

Other

OtherBIOSIGNALS 2008 - 1st International Conference on Bio-inspired Systems and Signal Processing
CountryPortugal
CityFunchal, Madeira
Period1/28/081/31/08

Keywords

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

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Control and Systems Engineering

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