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This article explores the principles and techniques of sound localization using hydrophone arrays. We discuss various methods such as passive and active sonar, the measurement of time differences in signal arrival, and the use of three and four hydrophone setups for accurate 3D localization. The challenges of signal reflections, noise, and reverberation are examined, along with practical applications like acoustic tracking of marine life. Finally, we delve into the behavioral adaptations of marine animals like dolphins and bats in response to their acoustic environments.
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Differences measuring levels • Root mean square (RMS) • For long (continuous) signals • Average power delivered • Peak-to-peak (pp) • Extremely short signals (pulses) • Integral cannot be calculated • prms = A/√2 = 0.707A • Our hearing works similarly
Localizing a sound source • Passive listening arrays • Active sonar arrays (e.g. multibeams)
Hyperbola Fixed focus points Hyperbola - set of fixed points in a plane that the difference in distance between any point on plane and the two foci is a positive constant
Two hydrophone array Source Signal will arrive at h1 before h2 : t21 = (d2-d1)/c From this one time difference, signal could be anywhere along hyperbola
Three hydrophone line array 3 time of arrival differences 4 hyperbolas – in the dotted pair, only one is applicable (see signs) Is the signal above or below the x axis?
Left-right ambiguity • Affects line arrays • Typically those towed behind a vessel • No matter how many hydrophones added • Rearranging 3 hydrophones can eliminate ambiguity
Three hydrophone triangle array Unique solution – sound can be localized
3D localization Source is not in same plane as hydrophones 4 hydrophones (not in a line) – 2 possible points (similar to line array) 5 hydrophones – unique solution (if not in a line)
3D localization exception • 4 hydrophones in one plane (not in a line) • Near surface or seafloor • Ambiguity points occur below the surface and above it • One solution in invalid
Single hydrophone technique Direct signal and surface reflection Can determine the depth of the source If we also obtain a bottom bounce and can measure its time delay, range can also be determined Only works for very short signals (reflections do not overlap in time)
Measuring time differences • Precise measurements of small differences • Cross-correlation of one hydrophone (reference) to others • Good for complex signals (animal sounds) • Problems • Reverberation (shallow areas) • Multipath propagation • Ray bending • Noise • Rule of thumb • Accurate localization restricted to distances ~5 times the maximum size of array
Acoustic daylight • Passive sonar • Proposed by Buckingham 1992 • Noise sources • Passing ships, breaking waves, popping of bubbles, snapping shrimp • ‘Image’ objects
ADONIS • Dish focus on slight variations in the ocean's ambient noise field (lens) • 3 meters in diameter, 8-80 kHz • Reflects the collected sound • A series of 126 hydrophones • 1m resolution
Data analysis • Noise has broad frequency range • Higher frequencies only – higher spatial resolution • Adding lower frequencies increases information – acoustic ‘color’ • Spectral shape may indicate surface properties, material properties, etc. • Produce images continuously in real time at 25 Hz • Show movement • Currently only 130 pixels
ResolutionSimulations 90,000 pixels Breaking wave noise Steel sphere target 100 900
Tracking with tags • Single frequency coding (~50-100 kHz) • Repetition rate • Pulse intervals • Tags emit a series of pings in a pulse train which contains ID and error checking information (up to 192,000) • Individually track multiple fish • Time between pulse trains is varied randomly about a mean to ensure that other transmitters have a chance to be detected by the receivers
Tag ideas • Incorporation into ocean observatories • Archival tags with sensors that download data to listening stations • Tags that are also receivers, record contacts with other tags • Widely spaced ‘array’ • Presence/absence at various locations over time • For example, at marine reserve boundary • How often do fish emigrate or immigrate? • Closely spaced array • Tracking of individual fish over time
Determining source levels Au and Benoit-Bird, Nature 2003
Source level and range White curve is 20 log R + constant
Conclusions • As dolphins approach targets, sound gets louder • How to avoid hearing effects? • Bats constrict ears to hear less at close range • Human sonars apply gain function • Dolphins adapt the signal instead of the receiver • Receive constant echo from schools of fish • Do not fatigue hearing system • Reduce processing
Line array and dolphin behavior • Clicks • Pulsed, broadband signals • Function: echolocation • Interclick interval longer than two-way travel time • Function: communication • Very short interclick interval • Whistles • Tonal signals • Function: communication
dh dh t(C) t(B) t(A) S(x, y) tAB = t(A) - t(B) tCB = t(C) - t(B) C = 1533 m/s Methodology
Example of pair of signalers Whistles occur between animals spaced far (median 23 m) apart Note effective space Behavioral observations remove L/R ambiguity Lammers et al 2006
Burst pulsing pair Burst pulsing occurs at closer range (median 14 m)
Dolphin signaling conclusions • Whistles • Maintain contact between group members • Burst pulses • More intimate communication • (Consider propagation) • Regular clicks • Highly variable distances • No paired signaling • Vigilance (not feeding during study)