Multisensor Processing Algorithms for Underwater Dipole Localization and Tracking Using MEMS Artificial Lateral-Line Sensors

Pandya, S.; Yang, Yingchen; Jones, Douglas L.; Engel, Jonathan; Liu, Chang

doi:10.1155/asp/2006/76593

Cited by 57 publications

(68 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For information collection, aquatic animals acquire firing frequencies from each neuromast (3) to represent the strength of local flow; whereas the artificial lateral line records magnitude of voltage output from individual HWAs. For decision making, aquatic animals use a back-propagation learning algorithm (35); comparatively, the artificial lateral line uses the minimum meansquared error method (28). There is no doubt that in many ways a real lateral line, after millions of years of evolution, is superior to the artificial lateral line presented herein.…”

Section: Discussionmentioning

confidence: 99%

“…We find that the location of a dipole source is encoded in the location and amplitude of the apex. A signal-processing algorithm based on maximum-likelihood analysis was developed (28). It compares the pattern of the signal received by the array with the expected pattern at all positions and selects the best match as the estimate of the actual dipole location.…”

Section: Application On Dipole Source Localizationmentioning

confidence: 99%

See 1 more Smart Citation

Distant touch hydrodynamic imaging with an artificial lateral line

Yang

Chen

Engel

et al. 2006

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

167

154

View full text Add to dashboard Cite

Nearly all underwater vehicles and surface ships today use sonar and vision for imaging and navigation. However, sonar and vision systems face various limitations, e.g., sonar blind zones, dark or murky environments, etc. Evolved over millions of years, fish use the lateral line, a distributed linear array of flow sensing organs, for underwater hydrodynamic imaging and information extraction. We demonstrate here a proof-of-concept artificial lateral line system. It enables a distant touch hydrodynamic imaging capability to critically augment sonar and vision systems. We show that the artificial lateral line can successfully perform dipole source localization and hydrodynamic wake detection. The development of the artificial lateral line is aimed at fundamentally enhancing human ability to detect, navigate, and survive in the underwater environment.dipole localization ͉ hot wire anemometer ͉ micromachining ͉ wake detection ͉ neuromast A lateral line is a spatially distributed system of flow sensors found on the body surface of fish (1) and aquatic amphibians (2). It is comprised of arrays of neuromasts, which can be classified into two types: superficial neuromasts and canal neuromasts (Fig. 1). A superficial neuromast is situated on the surface of the fish and responds in proportion to fluid velocity (3, 4). In contrast, a canal neuromast is packaged in fluid-filled canals located beneath the surface of the skin and are commonly described as a detector of outside water acceleration that is proportional to the pressure gradient (1, 3-6). As an integrated flow sensing system, such lateral lines form spatial-temporal images of nearby sources based on their hydrodynamic signatures (1, 3, 5) and provide mechanosensory guidance for many different behaviors, including synchronized swimming in schools, predator and obstacle avoidance, prey detection and tracking, rheotaxis, and holding station behind immersed obstacles in streams (4,7,8). This ''distant touch'' sense complements other sensory modalities, including vision and hearing, to increase survivability in unstructured environments. To date, there has never been an engineering equivalent of the fish lateral line system for underwater vehicles and platforms. The goal of the present research is to build an artificial lateral line that mimics the functional organization and imaging capabilities of the biological one. The artificial lateral line can facilitate fundamental studies of biological systems and provide unprecedented sensing and control functions to underwater vehicles and platforms. Specifically, we envision that the distant touch hydrodynamic imaging capability of the artificial lateral line can provide a new sense in addition to sonar and vision. In this article, we demonstrate the functions of an artificial lateral line under two biologically relevant scenarios: (i) localizing a moving target with flapping part (7, 9, 10) and (ii) imaging a hydrodynamic trail for prey capture (11,12). Development of the Artificial Lateral LineThe artificial lateral line ...

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Application On Dipole Source Localizationmentioning

confidence: 99%

Distant touch hydrodynamic imaging with an artificial lateral line

Yang

Chen

Engel

et al. 2006

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

167

154

View full text Add to dashboard Cite

show abstract

“…We calculated the flow velocities at various points along the plane of artificial lateral line of sensors (represented in figure 4a) for two cases of dipole vibrating in the plane parallel to the array of sensors and in the plane perpendicular to the plane of sensors. According to the dipole model developed in [29][30][31], the dipole parallel to the array of the sensors generates a flow velocity along the line of sensors as described by V k,x ðxÞ ¼ mðtÞ 2p…”

Section: Micro-electromechanical Systems Artificial Lateral Linesmentioning

confidence: 99%

Artificial fish skin of self-powered micro-electromechanical systems hair cells for sensing hydrodynamic flow phenomena

Asadnia

Kottapalli

Miao

et al. 2015

J. R. Soc. Interface.

128

127

View full text Add to dashboard Cite

Using biological sensors, aquatic animals like fishes are capable of performing impressive behaviours such as super-manoeuvrability, hydrodynamic flow 'vision' and object localization with a success unmatched by human- , respectively, for an oscillating dipole stimulus vibrating at 35 Hz. Flexible arrays of such superficial sensors were demonstrated to localize an underwater dipole stimulus. Comparative experimental studies revealed a high-pass filtering nature of the canal encapsulated sensors with a cut-off frequency of 10 Hz and a flat frequency response of artificial SNs. Flexible arrays of self-powered, miniaturized, light-weight, low-cost and robust artificial lateral-line systems could enhance the capabilities of underwater vehicles.

show abstract

“…The fluid movement is mainly concentrated in the water area near the vibrating object [28,29]. The instantaneous displacement of the ball vibration can be expressed as [30,31] …”

Section: Plane Potential Flow Theorymentioning

confidence: 99%

A novel biomimetic sensor system for vibration source perception of autonomous underwater vehicles based on artificial lateral lines

Liu

Gao

Sarkodie-Gyan

et al. 2018

Meas. Sci. Technol.

View full text Add to dashboard Cite

The perception of vibration sources can be used to detect, classify, locate, and track autonomous underwater vehicles (AUVs), which is of great importance for ocean scientific research and naval applications. The artificial lateral lines system (ALLS) is a promising technique to sense underwater vibration sources. However, most current ALLS research focuses on perception mechanism and biomimetic sensor design. The design of a systematic ALLS that is ready for practical applications is still an unsolved problem. To this end, a novel biomimetic sensor system is proposed in this work for the purpose of developing a practical ALLS for AUVs. In order to determine the distribution of the developed biomimetic sensors in the AUVs, hydromechanics modelling and simulation of the artificial lateral lines were implemented to investigate the pressure response mechanisms of the AUVs in terms of the position, frequency and amplitude of the vibration source(s). Subsequently, an experimental AUV was equipped with biomimetic sensors to evaluate the performance of the vibration source perception. Experimental tests were conducted to analyze the relationship between the measured AUV pressure and the distance, frequency and amplitude of the vibration source. Analysis results demonstrate that the experimental measurements were consistent with simulation results. Based on the relationship between the sensor measurements and the vibration source, a neural network model was used to identify the coordinates, frequency and amplitude of the vibration source, producing an identification accuracy of 93%. Hence, the proposed ALLS is effective for vibration source perception of AUVs.

show abstract

Multisensor Processing Algorithms for Underwater Dipole Localization and Tracking Using MEMS Artificial Lateral-Line Sensors

Cited by 57 publications

References 20 publications

Distant touch hydrodynamic imaging with an artificial lateral line

Distant touch hydrodynamic imaging with an artificial lateral line

Artificial fish skin of self-powered micro-electromechanical systems hair cells for sensing hydrodynamic flow phenomena

A novel biomimetic sensor system for vibration source perception of autonomous underwater vehicles based on artificial lateral lines

Contact Info

Product

Resources

About