Wednesday, January 21, 2015

Bluefin-21’s Sensors and Advances in Maritime Sensors


By Brett Chereskin

Abstract
This paper provides an explanation of the sensors and capabilities of the Bluefin-21 autonomous underwater vehicle (AUV). There are four topics address within this paper. The first is an analysis of marine sensors that support underwater search and rescue. The second topic proposes modification to the AUV that would increase search and rescue capability. The third topic proposes possible sea to air unmanned system coordination, and the final topic weighs the pros and cons between manned and unmanned systems in maritime sensor technology.  

Introduction

The Bluefin-21 is an autonomous underwater vehicle (AUV) that is build by Bluefin Robotix. This advanced maritime AUV has recently been used in the search for Malaysia Airline flight MH370 and contains many sensors that are perfectly suited to the underwater search and rescue mission (Chand, 2014). Understanding the available sensors used on the Bluefin-21 will help determine if any modification can be made that will increase it’s capabilities as well as if integrating with unmanned aerial systems (UASs) could provide an increase to its mission success. Additionally, by analyzing the advantages of sensors suited to unmanned systems a clear understanding of this topic will be gained.       

The Sensors of Bluefin-21

The Bluefin-21 can be fitted with multiple sensors depending on the mission requirement. One of the most commonly used sensors for maritime search and rescue on the Bluefin-21 is the EdgeTech 2200-M 120/410 kHz side scan sonar (Chand, 2014). The EdgeTech 2200-M gathers side scan and/or sub-bottom data using EdgeTech’s proprietary technology in water depths up to 6000 meters (EdgeTech, 2015).  This proprioceptive sensor is specifically deigned for use in the maritime environment due to the fact that only in water will acoustic/ FM sonar sensors provide the best wave propagation and resolution.  To note, one of the greatest advantages of this particular sonar imagining sensor is that is uses full spectrum signal processing that sends out a broad band transmitting pulse. One benefit of a full spectrum system is the relative power savings over a conventional continues wave sonar system. In order to obtain the same resolution, conventional sonar would required 100 times more power compared to the full spectrum sonar system (EdgeTech, 2015).

Possible Modifications

Upon analysis of the EdgeTech 2200-m on the Bluefin-21, other than attempting to decrease weight and power consumption, which are key to any unmanned system, I propose that the ability to network multiple sensors via underwater acoustic networks should be integrated. Due to the temporal constraints of any search and rescue mission, being able to cover larger amounts of area in less time is essential. The Bluefin-21 uses an INS to accurately track its positions, but allowing the position data to georeference the EdgTech’s imagery would be the first step in the multi-sensor integration (Bluefin-21, 2015). After georeferenceing, multiple sensors would need to communicate the data in order to run algorithms that would optimize participating AUV tracks so the multi-sensor system could map the largest possible area the least amount of time.

Aerial Integration

     In order to network multiple sensors via underwater acoustic networks, consideration must be made to the limitations of acoustic communication networks.  Underwater acoustic communications are generally recognized as one of the most difficult communication media in use today (Stojanovic, 2009). Due to this limitation, an alternative could be the introduction of an aerial command and control node, specifically an unmanned aerial system capable of extended transit and loiter times as well as beyond line of site communication of high bandwidth datasets. The multiple Bluefin-21’s could surface at regularly scheduled intervals and upload key data to the command and control UAS. The UAS would not only send the AUVs datasets to the mission command center at real near time, but it could also provide mission parameter changes to all other AUVs participating in a particular mission set. 

Unmanned vs Manned

            In terms of maritime sensors, there are a few key reasons why the use of AUVs over manned systems is beneficial. One major reason has to do with sensor depth. In terms of maritime sensor operation, it is known that attenuation of sonar pulses and noise are a limiting factor in obtaining high-resolution products (Stojanovic, 2009). If sensors were limited to shallow depths due being mounted on manned systems, the resolution during deep-water search and rescue would be limited. If the system is mounted on an AUV like the Bluefin-21, which is capable of diving to 4500 meters, it would be able to retrieve higher resolution products, and possible dive deep enough to obtain true camera imagery of the bottom of the ocean (Bluefin, 2014).

Conclusion

            The integration of unmanned systems into maritime search and rescue has taken previously existing sensor technology to the next level. The ability to take these sensors deeper and coordinate and optimize multi-sensor operations will save lives in the near future. By further integrating the unmanned aerial layer into the maritime layer, it will speed up data transfer and facilitate ad hoc mission changes.
   



References
Chand , N. (2014). Unmanned/Autonomous Underwater Vehicles. SP’s Naval Forces, Jun 2014 Issue. Retrieved from http://www.spsnavalforces.com/story.asp?mid=37&id=6
EdgeTech Corp. (2015). 2200-M Modular Sonar System. Retrieved from 
BlueFin Robotix Corp. (2015). Bluefin-21 Summary. Retrieved from http://www.bluefinrobotics.com/products/bluefin-21/
Stojanovic, M., & Preisig, J. (2009). Underwater Acoustic Communication Channels Propagation Models and Statistical Characterization. IEEE Communications Magazine Retrieved from http://web.mit.edu/millitsa/www/resources/pdfs/chmj-print.pdf

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