Autonomous Target Tracking for Hard-Kill Drone Interception
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Solution Overview
Problem
Existing anti-drone methods, particularly soft kill techniques like jamming and spoofing, are inadequate for complete response against threat drones, and hard kill methods face challenges in commercialization due to high costs and operational complexity, especially with advancing drone flight technologies.
Innovation Solution
A target tracking device and system that integrates hardware performance for high-speed movement, control performance through sensing data correction, and AI performance for automation, enabling precise tracking and striking of targets using EO and IR images, radar data, and predefined navigation rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hard kill method is used to directly track and strike targets, then response completeness is improved, but device complexity and operational complexity increase
Solution Approach 1:
The system enables autonomous target tracking and strike execution through integrated AI detection models, vision processing, and guidance algorithms. The device automatically identifies targets using cameras and sensors, processes visual data through pre-trained models, determines optimal strike trajectories, and executes maneuvers without requiring complex manual operational sequences, thereby reducing operational complexity while maintaining response completeness
Solution Approach 2:
The patent combines multiple functional systems into a unified hard kill platform: camera-based vision systems, infrared detection, AI target recognition models, flight control algorithms, and strike execution mechanisms are merged into a single integrated device. This consolidation reduces operational complexity by eliminating the need to coordinate separate systems while maintaining comprehensive target engagement capability
2Device complexity
If manual flight tracking is used, then device complexity is reduced, but tracking precision and speed deteriorate
Solution Approach 1:
The patent replaces manual mechanical flight control with automated AI-based vision systems and guidance algorithms. Pre-trained detection models process visual data to identify targets and calculate optimal trajectories, while guidance algorithms automatically compute and execute strike paths. This substitution eliminates manual tracking operations, achieving high precision and speed while keeping the overall device structure relatively simple
Solution Approach 2:
The system uses pre-trained AI detection models that have been trained on extensive datasets of target patterns. These models replicate and extend human visual recognition capabilities, automatically identifying targets and determining strike trajectories with high precision without requiring complex real-time computational processes during actual operations
3Adaptability or versatility
If advanced drone flight technology is used, then target evasion capability is improved, but tracking difficulty increases
Solution Approach 1:
The system employs dynamic guidance algorithms that continuously adapt to target movements in real-time. The guidance law calculates optimal strike trajectories based on current target position, velocity, and acceleration data, adjusting the approach dynamically to counter advanced evasion maneuvers. This dynamic response enables effective tracking and engagement of highly evasive targets without increasing tracking difficulty
Data Source
AI summary
A target tracking device for tracking a target TG, comprising: a memory storing at least one instruction; and at least one processor executing the at least one instruction, wherein the at least one processor: identifies the target based on at least one of radar data acquired through a radar and vision data acquired through a camera, and performs a guidance process to approach the identified target, performs a first guidance process at a first tracking time point to track the target in a certain manner, and performs a second guidance process at a second tracking time point, which is chronologically subsequent to the first tracking time point, to track the target in a manner different from the certain manner.