Sensor Fusion and Tracking for Next Generation Radar · Abhishek Tiwari Pilot Engineering Signal...
Transcript of Sensor Fusion and Tracking for Next Generation Radar · Abhishek Tiwari Pilot Engineering Signal...
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1© 2015 The MathWorks, Inc.
Sensor Fusion and Tracking for
Next Generation Radar
Abhishek TiwariPilot Engineering
Signal Processing and Communication
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Agenda
• Target Tracking & Evaluation Metrics,
• Tracking Extended Objects & Large
number of Objects
• Passive Sensor Angle Only Tracking
• Closed-loop Multifunction
Radar• Multisensor Detection
Generation & Fusion
• Localization
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Sensor Fusion and
Tracking
Self- awareness Situational awareness
Accelerometer, Magnetometer,
Gyro, GPS…
Radar, Camera, IR, Sonar, Lidar,
…
Signal and Image
ProcessingControl
Sensor Fusion and Tracking is…
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Timeline of Technology Advances
Military Commercial Ubiquitous
TodayTimeline
Multi-sensor Fusion
for Autonomous Systems
Computer Vision
for Transportation
Multi-object
tracking
Localization
Air Traffic Control
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Fusion Combines the Strengths of Each Sensor
Sensor 1
measurement at time
step k
Sensor 2
measurement at
time step k
Fused
estimate at
time step k
Fused estimate
at time step k-1
Predicted estimate
at time step k
Cross range
Down range
Sensor 1
Measurement
Sensor 2
measurement
Track (fused
estimate)
Ellipse
represents
uncertainty
Legend
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Multifunction Radar: Search and Track
• Initially, all resources spent on search
• Once targets are detected, resources split
80% to 20% (search vs. track)
• Once second target moves farther away,
resources freed up for search
Sensor Fusion and Tracking Toolbox TM
Phased Array System Toolbox TM
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Target 1 Detected
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Detection Confirmed and Track 1 Created
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Track 1 Updated
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Integrate trackers into Larger Radar System Simulation
Search GridDetect and Track
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Radar System Design with MATLAB and Simulink
Design subarrays
Model failuresSynthesize arrays Model mutual coupling
Import antenna patterns
RF Propagation
Design an array
Antenna Toolbox TM
Phased Array System Toolbox TM
Spatial signal processing
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Agenda
• Closed-loop Multifunction
Radar
• Target Tracking & Evaluation Metrics,
• Tracking Extended Objects & Large
number of Objects
• Passive Sensor Angle Only Tracking
• Multisensor Detection
Generation & Fusion
• Localization
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Design multi-object trackers
Sensor Fusion and Tracking ToolboxTM
Phased Array System Toolbox TM
Detections Tracks
Multi-Object Tracker
Tracking
Filter
Association &
Track
Management
From various sensors at
various update rates
▪ Global Nearest Neighbor (GNN) tracker
▪ Joint Probabilistic Data Association (JPDA) tracker
▪ Track-Oriented Multi-Hypothesis Tracker (TOMHT)
▪ Probability Hypothesis Density (PHD) tracker
▪ Linear, extended, and
unscented Kalman filters
▪ Particle, Gaussian-sum,
IMM filters
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1° Azimuth
Resolution
+ 270m
at 30km
Two targets seen
as one by the radar
Did the trajectories cross?
Performing What-If Analysis
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+ 175m
at 10km
+ 9m
at 1km
Performing What-If Analysis: Same Tracker, Different Model
GNN with CV GNN with IMM
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+ 175m
at 10km
+ 9m
at 1km
Performing What-If Analysis: Same Tracker, Different Model
tracker = trackerGNN( ...
'FilterInitializationFcn',@initCVFilter,...
'MaxNumTracks', numTracks, ...
'MaxNumSensors', 1, ...
'AssignmentThreshold',gate, ...
'TrackLogic', 'Score', ...
'DetectionProbability', pd, ...
'FalseAlarmRate', far, ...
'Volume', vol, 'Beta', beta);
tracker = trackerGNN( ...
'FilterInitializationFcn',@initIMMFilter,...
'MaxNumTracks', numTracks, ...
'MaxNumSensors', 1, ...
'AssignmentThreshold',gate, ...
'TrackLogic', 'Score', ...
'DetectionProbability', pd, ...
'FalseAlarmRate', far, ...
'Volume', vol, 'Beta', beta);
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Performing What-If Analysis: Different Trackers, Same Model
GNN with IMM TOMHT with IMM
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Performing What-If Analysis: Different Trackers, Same Model
tracker = trackerTOMHT( ...
'FilterInitializationFcn',@initIMMFilter,..
.
'MaxNumTracks', numTracks, ...
'MaxNumSensors', 1, ...
'AssignmentThreshold’,[0.2,1,1]*gate, ...
'TrackLogic', 'Score', ...
'DetectionProbability', pd, ...
'FalseAlarmRate', far, ...
'Volume', vol, 'Beta', beta, ...
'MaxNumHistoryScans', 10, ...
'MaxNumTrackBranches', 5,...
'NScanPruning', 'Hypothesis', ...
'OutputRepresentation', 'Tracks');
tracker = trackerGNN( ...
'FilterInitializationFcn',@initIMMFilter,...
'MaxNumTracks', numTracks, ...
'MaxNumSensors', 1, ...
'AssignmentThreshold',gate, ...
'TrackLogic', 'Score', ...
'DetectionProbability', pd, ...
'FalseAlarmRate', far, ...
'Volume', vol, 'Beta', beta);
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Comparing Trackers and Tracking FiltersFalse track
Dropped track
Faster
GNN with IMM JPDA with IMMTOMHT with IMM
Slower
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Tracker Performance Comparison
• GNN and JPDA can track the targets 5 to 6
times faster than MHT depending on the
motion model
• The IMM motion model makes all three
trackers run 3 to 4 times slower
• Tracker processing time varies differently
depending on the scenario's number of target,
density of false alarms, density of targets
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Track Large Numbers of Objects (Efficiently)
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Test Tracker Performance on Pre-Built Benchmark Trajectories
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Track Extended Objects with Marine Radar▪ Estimate position, velocity, size and orientation
▪ Maintain tracks through occlusions
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Challenges of Passive Ranging Using a Single Maneuvering Sensor
ESM (RWR),
EO/IR, or
sonar sensorTarget
Sensor must
out-maneuver
the target
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Passive Ranging Using a Single Maneuvering Sensor
MSC or cartesian
coordinates?
Range error
Range-rate
error
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Tune and Compare Passive Ranging Trackers with Error Metrics
Range-parameterized
MSC-EKF converges
faster than
single MSC-EKF
Faster
convergence
Smaller
error
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Scenario Definition and Sensor Simulation
Flexible Workflows Ease Adoption: Wholesale or Piecemeal
Ownship
Trajectory
Generation
INS Sensor
Simulation
Recorded
Sensor Data
Visualization
&
Metrics
Algorithms
gnnTrackergnnTrackerGNN,TOMHT,
JPDA ,PHD etc..
Actors/
PlatformsRadar, IR,
& Sonar
Sensor
Simulation
Documented
Interface
for detections
Documented
Interface
for tracks
Generate C/C++ code with MATLAB® Coder™
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Agenda
• Closed-loop Multifunction
Radar
• Target Tracking & Evaluation Metrics,
• Tracking Extended Objects & Large
number of Objects
• Passive Sensor Angle Only Tracking
• Multisensor Detection
Generation & Fusion
• Localization
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Multiplatform Detection Generation and Fusion
Moving Airborne Radar (red)
2 ULAs mounted above fuselage
Electronically scan 120° az sector on both sides of airframe
Stationary Ground Based Radar (yellow)
Electronically scanned URA
Raster scan surveying +/-60° az and -20 to 0° el
Moving Airborne Radar (blue)
360° mechanical scan in az
No electronic scanning
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Airborne ULA can’t
measure Elevation
Visualize Detections and Measurement Uncertainties
Mechanically scanning
radar detects target
only 2 times
Ellipsoids
represent
uncertainties
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Tune and Compare Trackers with Assignment Metrics
Time to
confirm tracks
Track T09
for P1
7 objects
(P1, P2, …)
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Assess Tracker Performance with Assignment Metrics
Dropped
track
Dropped
track
False
track
False
track
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Visualize Track Accuracy
Good track
altitude
estimation
despite poor
measurements
Motion model
mismatch
(CV vs. CT)
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Visualize Track Accuracy and Uncertainty
Truth within track
uncertainty
Truth within track
uncertainty
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Fuse IMU & GPS for Airborne Platform
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To go further on localization, see also
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Summary
• Multisensor Detection
Generation & Fusion,
• Localization
• Target Tracking & Evaluation Metrics,
• Tracking Extended Objects & Large
number of Objects
• Passive Sensor Angle Only Tracking
• Closed-loop Multifunction
Radar
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Extended Workflows – AI for Radar Target Classification
Synthesize returns (radar cross section)
Statistics and Machine Learning Toolbox TM
Deep Learning Toolbox TM
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Waveform Classification Using Deep Learning (Radar and Comms)
Data synthesis for 3000 signals/ modulation
type with random variations & impairments
DSB-AM signals misclassified as SSB-AM and SSB-AM as DSB-AM.
Deep Learning Toolbox TM
Phased Array System Toolbox TM
Communications Toolbox TM
Signal Processing TM
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Modeling Radar Systems using Phased Array Systems Toolbox
This one-day course provides a comprehensive introduction to the Phased Array System Toolbox™.
Themes including radar characterization and analysis, radar design and modeling and radar signal
processing are explored throughout the course.
Topics include:
▪ Review of a Monostatic End-to-End Radar Model
▪ Characterize and analyze radar components and systems
▪ Design and model components of a radar system
▪ Implement a range of radar signal processing algorithms
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Learn More
Please visit our Technology Showcase for more details on the workflows
https://www.mathworks.com/products/sensor-fusion-and-tracking.html
https://www.mathworks.com/products/phased-array.html
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