Satellite Data Encoding Control via Ground Station Parameter Adjustment
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Solution Overview
Problem
Existing data encoding systems for compressing sensing data from flying objects, such as satellites, face challenges in controlling compression parameters from the ground and require pre-setting multiple compression methods based on image features.
Innovation Solution
A data encoding system comprising a data encoding device on a flying object and a data encoding control device in a ground station, where the control device detects the sensed position, determines compression parameters, and notifies them to the encoding device, allowing the encoding device to compress data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If compression algorithms are pre-set based on image features on the flying object, then image compression can be performed, but control of compression parameters from the ground is difficult
Solution Approach 1:
A communication interface is introduced as an intermediary between the ground station and the flying object. The ground station sends compression parameter control signals through this interface to the data encoding device on the flying object, enabling remote control without requiring complex local decision-making systems on the satellite.
Solution Approach 2:
The system implements feedback control where the ground station receives information about the sensing data (such as image features or compression results) and adjusts compression parameters accordingly. This closed-loop feedback mechanism enables optimal compression parameter selection based on actual data characteristics while maintaining ground-based control.
2Adaptability or versatility
If multiple compression methods are pre-set to be selectable, then appropriate compression can be achieved, but device complexity increases
Solution Approach 1:
The system transitions from static pre-set compression methods to dynamic parameter adjustment. Instead of having multiple fixed algorithms, the data encoding device receives real-time compression parameter values (such as quantization levels, bit rates, or quality factors) from the ground station and adapts its encoding behavior dynamically, reducing the need for multiple pre-configured methods.
Solution Approach 2:
The invention changes the approach from selecting different compression algorithms to adjusting compression parameters within a single algorithm framework. By varying parameters such as quality factor, bit rate, or quantization step size based on ground station control and data characteristics, the system achieves adaptability without implementing multiple complex compression methods.
3Manufacturing precision
If compression parameters are calculated on the flying object, then local optimization is achieved, but costs and computational resources are increased
Solution Approach 1:
The computationally intensive task of determining optimal compression parameters is extracted from the flying object and transferred to the ground station. The data encoding device on the satellite simply receives pre-calculated parameter values via communication, significantly reducing the computational burden on the satellite while maintaining optimization quality through ground-based processing power.
Data Source
AI summary
To provide a data encoding system that can control compression parameters when compressing sensing data in a flying object without setting a compression method in advance. The data encoding control device installed in a ground station detects a position on earth sensed by the sensor, determines information about a compression parameter of sensing data acquired through sensing performed by the sensor, based on the detected position, and notifies, to the data encoding device, the information about the determined compression parameter. The data encoding device acquires the information about compression parameter notified from the data encoding control device, and compresses sensing data acquired through sensing performed by the sensor, according to the acquired information about the compression parameter.


