Broadband

Multi-Frequency

Split-Beam

Proven

Portable

Network Ready

Rugged

Competitively
Priced

The Model 2100 is a multi-function sonar that can be operated as a broadband sonar, multi-frequency sonar, or a split-beam sonar, with the ability to switch from one mode to the other on a ping-by-ping basis from user-selectable settings. (click here for PDF of specifications)

• The broadband mode utilizes pulse compression to get high spatial resolution, allowing targets as small as1.2cm to be resolved and providing exceptionally clear target images.  Broadband pulses also provide a rich target return that can be subjected to spectral analysis and aid in species recognition.
• The split-beam mode is ideally suited for fisheries management to detect, count, and track fish near the surface of lakes, seas, or the ocean. The unit has been independently verified to count up to 3,000 fish per hour, so it is well suited for both high and low volume fisheries. Because the SB system can determine the fish position, behavioral analysis of the fish can be performed.
• The multi-frequency mode allows the user to specify three specific frequencies of interest.  With 3 5-kHz ranges to choose from, you can select the values that are most applicable to your fishery based on a species acoustic reflectivity.  When in multi-frequency mode, the system utilizes a proprietary colorization algorithm for each of the three frequency ranges as output for analysis.

The Model 2100 is a system designed for shipboard or shore based deployment to detect and track fish and marine mammals.  The system interfaces with a terminal box that allows the user to adjust settings such as gain and transmit power to best suit the conditions in the field.  The system may be left unattended for as long as it is powered.  All raw data is stored for later analysis.

Recent News

• VENUS Tests New Broadband Inverted Echo-Sounder
   
• Volume 18, Spring 2008 – Plankton takes center stage
   
• Sea lions may be in for a shock; Underwater electric barrier could
   
• Echoview Support

Related Publications

• Burger, C. Innovative Technology for Marine Mammal Deterrence in the Columbia River Basin: Summary Report of Research Results , Project Number 2007-524-00, July 2010.
   
• H Brundage and JB Jung, Experiments with Broadband Sonar for the Detection and Identification of Endangered Shortnose Sturgeon, MTS Journal, pp. 78-82, Vol 43, No. 3, Summer 2009.
   
• J.-B. Jung, G. F. Denny, J. W. Tilley, A. B. Kulinchenko, and P. K. Simpson, Broadband Active Sonar Swimmer Detection and Identification, Proceedings of the International Joint Conference on Neural Networks, Vancouver, B.C., Canada, July 16-21, 2006, pp. 2600-2605.
   
• Adams, C.F. and K.O. Coyle. Use of narrowband and broadband sonar to assess fish populations around the Chiswell Island rookery, Marine Science in the Northeast Pacific: Science for Resource Dependent Communities, Alaska Sea Life Center, 3rd Annual Research Colloquium, Anchorage, AK, Oct. 2004.
   
• Demonstration of Broadband Sonar Technology for Columbia River Chinook Salmon Smolt Identification (Limited Distribution), Pacific Northwest National Lab, PNNL-14883, September 2004.
   
• A.B. Kulinchenko, P.K. Simpson and G.F.Denny, Tethered fish data collection and species classification: Prince William Sound bottomfish, Proceedings of the International Conference on Geoscience and Remote Sensing, Vol. 2, pp. 1439-1443, Anchorage AK, Sept. 2004.
   
• E.O. Rogers, G.W. Fleischer, P.K. Simpson, G.F. Denny, Broadband fish identification of Laurentian Great Lakes fishes, Proceedings of the International Conference on Geoscience and Remote Sensing, Vol. 2, pp. 1430-1434, Anchorage AK, Sept. 2004.
   
• J.-B. Jung, J. H. Jacobs, G. F. Denny, and P. K. Simpson, Broadband sonar target classification: pool experiments, Proceedings of the International Joint Conference on Neural Networks, July 20-24, 2003, vol. 2, pp. 1307-1312.
   
• J.-B. Jung, J. H. Jacobs, G. A. Dowding, and P. K. Simpson, Initial species discrimination experiments with riverine salmonids, Proceedings of the International Joint Conference on Neural Networks, 20-24 July 2003, vol. 2, pp. 1295-1300, Portland OR.
   
•  Report from CIFAR to NOAA on the second year of Cooperative Agreement No. NA17RJ1224

Internal Reports

• J-B. Jung, A.B. Kulinchenko, P.K. Simpson, J.W. Tilley, A Combined Broadband Single-Beam and Narrowband Split-Beam SONAR System, submitted.
   
• P.K. Simpson and G.F. Denny, A comparison of Broadband and Narrowband Fisheries Sonar Systems, Report No. SFS-01-01, August 19, 2001.

Past News Articles

• "Data Acquisition Technology is Key to Sonar Detection of Fish Size and Species in Real Time.
   
• Scifish" Technology to Protect Alaska's Fisheries and Promote Sustainable Use
   

• Fish ahead! A new sonar tracking device detects fish by species and school size, covering as much
  as 230 square miles in an hour.

• Sonar System May Boost Net Results

Sonar Specifications
(click here for PDF version)