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DSA Volume 1 Issue 4 December 2010 - Defence Science and ...

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Improved sonar pictures<br />

of a noisy changeable ocean<br />

Ocean forecast modelling is being applied by<br />

DSTO to assist sonar target detection.<br />

In anti-submarine warfare, the sonar<br />

operator plays an integral part in monitoring<br />

in-water active sonar returns to locate<br />

potentially hostile targets <strong>and</strong> warn of<br />

approaching attack from any given direction.<br />

Conventional sonar operator consoles<br />

typically comprise a screen with a plan<br />

position indicator (PPI) display that depicts<br />

the range <strong>and</strong> bearing of active sonar returns.<br />

The work of interpreting what an active<br />

return signal indicates is made difficult<br />

<strong>and</strong> time-consuming due to the fact that<br />

transmitted sonar energy propagates<br />

in highly variable ways, being affected<br />

by oceanographic properties such as<br />

density, temperature <strong>and</strong> salinity that<br />

vary from place to place <strong>and</strong> over time.<br />

For the detection <strong>and</strong> identification<br />

of faint return signals, this problem is<br />

further exacerbated by the presence of<br />

background noise produced by various<br />

natural <strong>and</strong> human-made causes.<br />

Correspondingly, sonar operators are<br />

commonly faced with complex <strong>and</strong> changing<br />

displays that require intense scrutiny <strong>and</strong><br />

skilled interpretation to distinguish potential<br />

targets from environmental clutter.<br />

To alleviate these difficulties, sonar<br />

performance modelling is applied using<br />

oceanic parameter inputs to produce output<br />

predictions of how sound will travel through<br />

water plus estimates of probability of signal<br />

detection against submarines. This modelling<br />

aids the process of both operating the sonar<br />

system <strong>and</strong> interpreting active sonar returns.<br />

Environmental data sources<br />

Conventional sonar performance modelling<br />

tools have been reliant on monthly-averaged<br />

oceanographic data amassed in climatology<br />

databases, along with in situ data gathered<br />

via expendable bathythermographs<br />

(XBTs) that provide a measure of ocean<br />

temperature for a single place <strong>and</strong> time<br />

from the sea-surface to a certain depth.<br />

For some operational scenarios, however,<br />

the sonar performance modelling outcomes<br />

obtained with these data inputs do not<br />

adequately capture the variability of<br />

the changing ocean environment.<br />

A recently instituted oceanic forecasting<br />

service, called BLUElink, provides a<br />

means of significantly improving on<br />

this situation. BLUElink is an Australian<br />

Government initiative involving the Bureau<br />

of Meteorology, Navy <strong>and</strong> CSIRO.<br />

The service produces three-dimensional<br />

ocean models of the Australian maritime<br />

region based on data from climatology<br />

databases, satellite remote sensing<br />

<strong>and</strong> measured at-sea data, featuring<br />

parameters that include ocean currents,<br />

wind stress, temperature <strong>and</strong> salinity.<br />

The modelling results are available either<br />

as forecasts for use in preparing for future<br />

sonar operations, or hindcasts that can be<br />

used for post-trial analysis, by estimating<br />

what the state of the ocean was most likely<br />

to have been at a particular time in the past.<br />

Contained within BLUElink is a capability<br />

called the Relocatable Ocean Atmosphere<br />

Model (ROAM) for limited area high-resolution<br />

modelling. This has sufficient resolution to<br />

accurately depict smaller-scale shortlived<br />

ocean circulation features, including frontal<br />

boundaries <strong>and</strong> eddies, that dramatically<br />

impact on sonar system performance through<br />

the effects of refraction <strong>and</strong> energy scattering.<br />

Seeing great potential in the BLUElink<br />

resource, DSTO researchers Jarrad Exelby<br />

<strong>and</strong> Han Vu have sought to harness<br />

the higher fidelity modelled data on<br />

offer for better quality predictions<br />

of signal detection probability.<br />

The work has been developed as an<br />

experimental ‘concept demonstrator’,<br />

aimed at proving the validity of the<br />

approach to establish grounds for<br />

applying further time <strong>and</strong> effort to<br />

deliver a version for operational use.<br />

A plethora of information<br />

at fingertip reach<br />

DSTO’s concept demonstrator currently<br />

operates on a st<strong>and</strong>-alone laptop that<br />

can be used during at-sea exercises or in<br />

the laboratory for post-trial analysis.<br />

The eventual intended use is to incorporate<br />

both measured <strong>and</strong> modelled undersea<br />

environmental information into the<br />

real-time displays that sonar operators<br />

view, presented as an overlay on the<br />

conventional sonar display picture.<br />

The demonstrator system has been designed<br />

with functionality that enables a range<br />

of different environmental data inputs<br />

10<br />

Left: BLUElink predictions for ocean temperature, height <strong>and</strong> surface currents for eastern Australia.<br />

Above: DSTO researchers Jarrad Exelby <strong>and</strong> Han Vu.

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