Flight Path Model Selection for Hypersonic Glide Vehicle Tracking
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Solution Overview
Problem
Conventional geostationary satellites are inadequate for tracking Hypersonic Glide Vehicles (HGVs due to their inability to detect temperature changes in the object's body, requiring high-resolution and high-sensitivity infrared monitoring, which is not possible with conventional geostationary satellites, and there is a need for continuous monitoring and immediate information delivery using a low orbit satellite constellation.
Innovation Solution
A system comprising three or more surveillance satellites monitoring the Earth's limb from different latitudes to acquire multiple sets of data, calculating line-of-sight directions, and using these to determine the flying object's coordinates, allowing selection of a flight path model to track the object's trajectory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If conventional geostationary satellites are used for monitoring, then the monitoring coverage area is large, but the measurement precision of flying object temperature is insufficient
Solution Approach 1:
The patent transitions from single-satellite geostationary monitoring to multi-satellite low-orbit constellation monitoring, adding spatial dimensionality to achieve both wide coverage and high precision through coordinated observation from multiple satellites at different positions
Solution Approach 2:
The patent introduces a ground system as an intermediary that receives monitoring data from multiple satellites, performs centralized processing and coordinate calculations, and selects appropriate flight path models to track the flying object's trajectory
2Measurement precision
If high-resolution and high-sensitivity infrared monitoring is implemented, then the measurement precision of flying object temperature is improved, but the device complexity increases
Solution Approach 1:
The patent divides the monitoring system into multiple independent low-orbit satellites, each equipped with infrared monitoring devices, allowing the system to achieve high precision through distributed observation rather than relying on a single complex geostationary satellite
Solution Approach 2:
The low-orbit satellite constellation serves multiple functions: detecting flying object launches, tracking flight trajectories, and providing continuous monitoring coverage, reducing the need for separate specialized systems
3Measurement precision
If continuous monitoring with low orbit satellite constellation is implemented, then the measurement precision and response time are improved, but the device complexity increases
Solution Approach 1:
The patent merges the functions of multiple low-orbit satellites into a coordinated constellation system that works together to achieve continuous monitoring coverage, combining individual satellite capabilities into a unified tracking system
Solution Approach 2:
The ground system receives monitoring data from satellites, calculates flying object coordinates, selects appropriate flight path models, and uses this feedback information to continuously update and refine the tracking of the flying object's trajectory
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate tracking of the flight trajectory of flying objects by selecting a consistent flight path model, facilitating continuous monitoring and immediate information delivery to handling assets.
Implementation Method 1
high-resolution and high-sensitivity infrared monitoring is required; handling is not possible via monitoring by conventional geostationary satellites
Data Source
AI summary
A flying object (109) flies on the earth's limb. Three or more surveillance satellites (120) monitor the earth's limb from different latitudes than each other at a time of interest and transmit three or more sets of monitoring data. A ground system (130) receives the three or more sets of monitoring data, calculates three or more line-of-sight directions from the three or more surveillance satellites to the flying object at the time of interest based on the three or more sets of monitoring data, calculates flying object coordinate values indicating the position of the flying object at the time of interest based on the three or more line-of-sight directions, and selects one flight path model from multiple flight path models based on the flying object coordinate values.