13
Coast Guard Research & Development Center Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Multi-Sensor Performance Prediction (MSPP) Tool-Set Tool-Set Kim Babcock Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard R&D Center

Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

Embed Size (px)

Citation preview

Page 1: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

Coast Guard Research & Development Center Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-SetMulti-Sensor Performance Prediction (MSPP) Tool-Set

Kim BabcockKim Babcock

U.S. Coast Guard R&D CenterU.S. Coast Guard R&D Center

Page 2: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

What is What is MSPPMSPP??

Coast Guard analyst software tool to estimate sensor performance

Validated

User-Friendly

Well-Documented

Fills the shortfall for data that cannot be obtained from field tests

Page 3: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

What is What is MSPP? (Cont’d)MSPP? (Cont’d)

Sweep WidthsLateral Range CurvesInstantaneous Probability of Detection Plots

- Radial

- Azimuthal

TargetEnvironment

- Weather

- Location

- Date/Time Platform Sensor Mode

Inputs Engine: DoD Models Outputs

THE BETTER THE INPUT, THE BETTER THE OUTPUT!

AREPS RADAR SENSORS

Detection

TAWSNIGHT VISION & INFRARED SENSORS

Detection

Classification

Evaluation

(Advanced Refractive Effects Prediction System - SPAWAR)

(Target Acquisition Weapons Software - AFRL)

Page 4: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

PRE-DEFINED ENVIRONMENTS

CG District 1 (good, average, poor)

CG District 7 (good, average, poor)

Cape Cod (7am or 7pm local in Feb, May, Aug, Nov)

Key West (7am or 7pm local in Feb, May, Aug, Nov)

MSPP User Input Options

PLATFORMS

Air – CG helicopters & fixed wing aircraftSurface – CG patrol boats, medium & high endurance cutters

SENSORS(multiple modes per sensor are available)

RADAR – SPS/73, APS-127, APS-137, APS-143, SINS 1933C

INFRARED – Wescam DSi, Milcam XP+, CASPER-IR, MARFLIR-IR

NIGHT VISION – PVS-5, 7, 7C, 14

** users can create and/or edit platforms, sensors & environments **

Page 5: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

Current MSPP Targets

35’ Sailboat with & without Radar Reflector

63’ Wood Hull Fishing Vessel

71’ and 90’ Steel Hull Fishing Vessels

6-Person Raft with & without Radar Reflector and with & without 2 People

24’ Speedboat with & without Wake

Naval Gunboat

PIW with & without Lifejacket

Page 6: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

MSPP Targets in DevelopmentMSPP Targets in Development

31’ Cabin Cruiser

22’ Day Sailer

Improved PIW with flotation device

Page 7: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

Latest MSPP Version (3)Latest MSPP Version (3)

• Analyst Plus (A+) Tool Set Features:– Editable Environments– Expanded CG Sensor Library– Expanded Target Set– New Classification and Evaluation Prediction

Modes (in addition to Detection)– New Batch Processing Mode – Significantly Reduced Run Times

Page 8: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

MSPP Main Graphical User Interface

Page 9: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

Platform: Air (altitude: 500ft)Sensor: OldIR and NewIRTarget: 6-Person Raft with 2 PeopleEnvironment: Cape Cod August, 11pm local time

MSPP Sample Output

These results indicate that in both NFOV and WFOV, OldIR provides moderately better detection results than NewIR.

Radial Plots of Instantaneous Probability of

Detection

Page 10: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

OldIR NewIR

Wide FOV

Narrow FOV

These azimuthal plots use color to POD at increasing ranges from the center where the sensor is positioned. As in the previous slide, these results indicate that in both NFOV and WFOV, OldIR provides moderately better detection results than NewIR.

POD Key

MSPP Sample Output Azimuthal Plots

of Instantaneous Probability of

Detection (POD)

Platform: Air (altitude: 500ft)Sensor: OldIR and NewIRTarget: 6-Person Raft with 2 PeopleEnvironment: Cape Cod August, 11pm local time

Narrow FOV

Wide FOV

100

50

0

Page 11: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

FY05 MSPP TasksFY05 MSPP Tasks

• Modify MSPP for unrestricted operation– implement the same approach used by TAWS

• Incorporate radar wind-dependent sea clutter model (AREPS)

• Investigate requirements to interface/integrate MSPP with

mapping software such as ESRI’s Arc View

• Add graphical output to batch mode (currently tabular)

Page 12: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

• Validation of method used to estimate minimum detectable temperature (MDT) data for IR predictions

• Expansion of MSPP Prediction Capabilities– Addition of CCD TV model (planned FY06)– Visibility impact on IR/NVG predictions (planned FY06)– Account for target height in IR/NVG max range

predictions– Modeling of retro reflective effects for NVG– Modeling of unaided visual detection– Effects of radar scan-to-scan integration

MSPP Wish ListMSPP Wish List

Page 13: Coast Guard Research & Development Center Multi-Sensor Performance Prediction (MSPP) Tool-Set Kim Babcock U.S. Coast Guard R&D Center U.S. Coast Guard

Questions?Questions?

Gary Hover

Sensor Program Manager

USCG R&D Center

(860) 441-2818

[email protected]

Kim Babcock

MSPP Project Manager

USCG R&D Center

(860) 441-2719

[email protected]