1. Broadband Fish Identification of Great Lake Fishes Patrick Simpson and Mike Tuohey Scientific Fishery Systems, Inc. Anchorage, AK Guy Fleischer and Ray Argyle Biological Resources Division - U.S. Geological Survey Great Lakes Science Center Ann Arbor, MI

2. Overview Why Broadband Sonar? System Overview Data Collection Classification Results Future Work

3. Broadband vs. Narrowband

4. Benefits of Broadband Fish Identification Full-Column Assessment Continuous Assessment Remote Assessment Cost Savings

5. Broadband Sonar Fish Identification System Prototype

6. Broadband Transducer Resonant Frequency 153,600 Hz 3 dB Operation Band45 kHz (138 - 183 kHz) Q=3.4 Active Surface177-mm disc Beam Pattern4.1° beamwidth, sidelobes @ 20 dB Rated Power80 W transducer & wet electronics Source Level216 dB re 1 uPa @ 1 m @ 153.6 kHz Transmit Sensitivitypeak TVR of 181 dB re 1 uPa-m/V @ 169 kHz Receive Sensitivitypeak OCVR of -180 dB re 1 V/uPa @ 169 kHz

7. Processing Platform Mid-tower computer case with 230 W power supply Plato motherboard with ISA/PCI bus adapters, 256 kByte cache Intel Pentium 90 MHz CPU with 16 Mbyte DRAM PCI SCSI-2 host adapter controlling three SCSI-2 devices below 1.0 GB hard disk, 1.3 GB magneto-optical drive, and quad-speed SCSI-2 CD-ROM 12 bit 770 kS/s ADC/DSP card with 486DX2/66 and 4 MB on-board DRAM 1280 x 1024 video monitor and video adapter card with 2 MB DRAM DOS 6.22 running ORCA.EXE Interface & Processing

8. Data Processing ACOUSTIC RECEIVER A/D CONVERSION ECHO DETECTION FEATURE EXTRACTION CLASSIFICATION MAN- MACHINE INTERFACE SIGNATURE DATABASE

9. Features Single Ping Parameters Multiple Ping Parameters Environmental Parameters

10. Neural Net Classifier o o o F A F B F C Hidden Nodes Input Nodes Output Nodes a 1 a 2 a 3 a n b 1 b 2 b 3 b p c 1 c 2 c 3 c m Features Classes

11. Tethered Individual Fish

12. Free-Swimming Fish

13. Tethered Data Collection

14. Classification Results

15. Tethered Vs. Free-Swimming Results

16. Future Work Wider Beam (15 degrees) Dual / Split Beam Greater Source Level Streamline Data Storage and Analysis More Data Collection