Shipboard Radar Contact Cluster Tracking via Centroid Calculation
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Solution Overview
Problem
Conventional shipboard radars struggle to accurately track a cluster of small, maneuverable boats due to confusion with stationary boats, leading to delayed re-acquisition of individual tracks and potential missed alerts, as the Automatic Radar Plotting Aid (ARPA) system is overwhelmed by clutter, resulting in compromised situational awareness.
Innovation Solution
A method and system that define a zone containing multiple contacts, calculate a centroid for these contacts, and track them as a single entity, allowing for improved tracking and alert generation, with dynamic zone boundary adjustments and subdivision based on contact movement, enabling effective monitoring of clusters and individual contacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional ARPA radar tracking is used to monitor individual contacts, then individual contact tracking capability is maintained, but tracking accuracy deteriorates when contacts form clusters due to confusion with stationary boats and clutter
Solution Approach 1:
The patent merges multiple individual contact tracks into a single cluster track when contacts are spatially proximate and exhibit similar motion characteristics. This combining approach resolves the contradiction by improving measurement precision through cluster-level tracking while avoiding the complexity of maintaining separate tracks for each contact within the cluster.
Solution Approach 2:
The patent segments the tracking problem into two distinct modes: individual contact tracking and cluster tracking. By automatically determining when contacts should be grouped into clusters versus tracked individually, the system optimizes tracking accuracy for different scenarios without requiring complex manual intervention for each case.
2Loss of information
If ARPA tracker attempts to maintain individual track on contacts within a cluster, then individual contact monitoring is achieved, but response time deteriorates due to track re-acquisition delays of about thirty seconds
Solution Approach 1:
The patent performs preliminary clustering action by grouping contacts into clusters before individual track re-acquisition becomes necessary. This preliminary grouping maintains situational awareness of the cluster's overall motion and position, preventing complete loss of information while avoiding the time-consuming re-acquisition process when contacts emerge from the cluster.
Solution Approach 2:
The patent ensures continuity of useful action by maintaining uninterrupted cluster-level tracking throughout the entire duration that contacts remain clustered. This continuous cluster track provides ongoing situational awareness without the interruptions and delays associated with dropping and re-acquiring individual tracks.
3Reliability
If cluster of contacts is tracked as multiple individual contacts, then individual contact detail is preserved, but reliability of threat assessment deteriorates due to confusion from stationary boats and clutter
Solution Approach 1:
The patent implements dynamic tracking that automatically adapts between individual contact tracking and cluster tracking based on real-time conditions. When contacts form clusters with similar motion characteristics, the system dynamically switches to cluster-level tracking, improving threat assessment reliability by reducing confusion from stationary boats and clutter while adjusting the number of tracked entities based on actual operational needs.
Data Source
AI summary
Methods and apparatus for identifying a plurality of contacts from a signal return, defining a zone containing a number of contacts from the plurality of contacts, determining a centroid for the contacts in the zone, and tracking the contacts in the zone as a single contact based on the centroid.