Digital Semi-Active Laser Receiver Multi-Object Tracking
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Solution Overview
Problem
Current digital semi-active laser receivers face challenges in accurately detecting and tracking electromagnetic pulses from target objects amidst natural clutter and countermeasures, leading to potential mission failures due to errors in acquisition and maintenance of the 'track'.
Innovation Solution
A digital receiver method that utilizes intra and inter track temporal information to associate pulses with different tracks, rank them, and designate a primary track for the target object, employing modes such as Acquisition, Post-Acquisition, Continuous Acquisition, and Pre-Track to optimize pulse correlation and gain adjustment for reliable tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a digital receiver uses traditional pulse detection and tracking methods, then it can detect electromagnetic pulses from target objects, but it cannot reliably distinguish true targets from clutter and countermeasures, leading to tracking errors
Solution Approach 1:
The patent segments the pulse detection process into multiple independent tracks, each monitoring a different potential target. Instead of relying on a single tracking algorithm, the system divides the field of view into multiple trackable entities, allowing independent evaluation of each potential target's pulse sequence characteristics.
Solution Approach 2:
The tracking system is designed to handle multiple functions simultaneously: it detects pulses from legitimate targets, identifies countermeasures, filters clutter, and maintains multiple potential tracks. This multi-functional capability allows the receiver to process diverse signal types through a unified tracking framework.
2Device complexity
If the receiver maintains a single track, then it simplifies processing, but it cannot track multiple objects or distinguish between multiple line-of-sight targets
Solution Approach 1:
The system segments tracking into multiple independent track structures, each with its own pulse history and evaluation metrics. This allows the receiver to maintain separate tracks for different objects without requiring a completely new processing architecture for each target.
Solution Approach 2:
The patent adds a temporal dimension to track management by evaluating pulse sequences over multiple pulse repetition intervals. Instead of making immediate track decisions based on single pulses, the system accumulates pulse data across time, enabling differentiation between persistent targets and transient clutter or countermeasures.
3Measurement precision
If the receiver uses aggressive filtering to remove clutter and countermeasures, then it reduces false tracks, but it may also eliminate valid pulses from legitimate targets
Solution Approach 1:
The system prepares multiple potential tracks in advance, cushioning against the possibility that aggressive filtering might eliminate valid targets. By maintaining candidate tracks with lower confidence thresholds initially, the system ensures that legitimate pulses are not prematurely discarded, allowing later evaluation to confirm or reject each track's validity.
Solution Approach 2:
The tracking system employs feedback mechanisms where pulse detection results from one pulse repetition interval inform the evaluation of subsequent intervals. Valid tracks receive positive feedback that reinforces their status, while false tracks are gradually suppressed. This feedback loop allows the system to adaptively adjust filtering aggressiveness based on accumulated evidence.
Data Source
AI summary
A digital SAL receiver implements a multiobject tracking method to detect EM pulses transmitted by a known source at a pulse repetition interval (PRI) and returned off of a target object to acquire multiple tracks. Intra and inter track temporal information is used to associate pulses with different tracks and to rank the tracks in order to designate a primary track for the target object.