TY - GEN
T1 - AQS-20 Through-the-Sensor (TTS) performance assessment
AU - Harris, Mike
AU - Avera, Will
AU - Steed, Chad
AU - Sample, John
AU - Bibee, L. Dale
AU - Morgerson, Dave
AU - Hammack, Jim
AU - Null, Mark
PY - 2005
Y1 - 2005
N2 - Performance of existing and planned mine hunting sensors is dependent on the environment. When the seafloor is a flat smooth hard sandy surface with no mine like clutter on it, then sensor performance is outstanding and acoustic mine hunting is relatively easy. Introduce clutter, a rough seafloor and a soft muddy bottom, sensor performance is seriously degraded making mine hunting operations extremely difficult to impossible. One must know the environment to know sensor performance. Historical environmental data is important but not sufficient. In spite of painstaking efforts to collect, process and disseminate data, historical information is often missing, outdated or in error. To know sensor performance, near real-time environmental data must be collected to verify, supplement and refresh historical holdings. This paper describes the results of two near real-time end-to-end Through-the-Sensor (TTS) demonstrations conducted in FY05 using AQS-20 data. Critical environmental parameters were extracted from the raw tactical data stream using a TTS approach. Data collected by the AQS-20 was processed for bathymetry, sediment type and % burial. Supplemental data was fused with historical information on scene and used to calculate doctrinal bottom type in NAVOCEANO's Bottom Mapping Workstation. The information was passed to MEDAL where track spacing and hunt times were calculated. NAVOCEANO, in a fast reach back mode using TEDServices, examined the data, added value, and returned it. The impact to the mine warfare community is a true sense of sensor performance.
AB - Performance of existing and planned mine hunting sensors is dependent on the environment. When the seafloor is a flat smooth hard sandy surface with no mine like clutter on it, then sensor performance is outstanding and acoustic mine hunting is relatively easy. Introduce clutter, a rough seafloor and a soft muddy bottom, sensor performance is seriously degraded making mine hunting operations extremely difficult to impossible. One must know the environment to know sensor performance. Historical environmental data is important but not sufficient. In spite of painstaking efforts to collect, process and disseminate data, historical information is often missing, outdated or in error. To know sensor performance, near real-time environmental data must be collected to verify, supplement and refresh historical holdings. This paper describes the results of two near real-time end-to-end Through-the-Sensor (TTS) demonstrations conducted in FY05 using AQS-20 data. Critical environmental parameters were extracted from the raw tactical data stream using a TTS approach. Data collected by the AQS-20 was processed for bathymetry, sediment type and % burial. Supplemental data was fused with historical information on scene and used to calculate doctrinal bottom type in NAVOCEANO's Bottom Mapping Workstation. The information was passed to MEDAL where track spacing and hunt times were calculated. NAVOCEANO, in a fast reach back mode using TEDServices, examined the data, added value, and returned it. The impact to the mine warfare community is a true sense of sensor performance.
UR - http://www.scopus.com/inward/record.url?scp=33947152127&partnerID=8YFLogxK
U2 - 10.1109/OCEANS.2005.1639807
DO - 10.1109/OCEANS.2005.1639807
M3 - Conference contribution
AN - SCOPUS:33947152127
SN - 0933957343
SN - 9780933957343
T3 - Proceedings of MTS/IEEE OCEANS, 2005
SP - 460
EP - 465
BT - Proceedings of MTS/IEEE OCEANS, 2005
PB - IEEE Computer Society
T2 - MTS/IEEE OCEANS, 2005
Y2 - 18 September 2005 through 23 September 2005
ER -