Enterprises-太空產業供應鏈暨網通產業新星飛揚計畫

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Tron Future Tech Inc.

Official Website: https://www.tronfuture.com/

Company Description

About Tron Future

Tron Future Tech (創未來科技) literally means “to create future technology” in mandarin Chinese. It states the long term focus of Tron Future Tech Inc. is to create never-existed technologies for the well-beings of all humankinds based on fundamental researches, and not limited by disciplinary boundaries. Tron Future Tech also derives its name from a popular sci-fi movie “Tron: legacy” due to the similarities that our founders are Caltech related.

Our Missions

We empower our customers solve critical problems based on data through fundamental sensor and communication breakthroughs.

Our Technology

Tron Future Tech Inc. continuously delivers world’s thinnest all-digital phased array systems. To create such systems, we have thoroughly studied and tested fundamental principles to make breakthroughs in III/V or CMOS ASIC/SoC, antenna, packaging, cooling, DSP, digital array system, data processing, computer architecture, language compiler, information architecture, production testing methods etc. Making high-end phased arrays in thin form factor allows Tron Future Tech Inc. to create never-imagined applications for diverse industries.

Company Research Topics and Matching Number

立方衛星結構模擬與測試驗證

立方衛星（CubeSat）模擬與驗證測試，提升工程設計與分析的準確性，提供實習生結構分析實作與驗證對標機會，培養實習生虛擬驗證流程思維，主要工作為熟悉立方衛星CAE模擬流程，協助建立材料數據庫，進一步完成模擬與實驗數據的對標分析，驗證該模型準確性。進一步提出立方衛星整體結構可能的優化設計方案。

應用於衛星通訊網路之圓極化大型天線陣列

由於大型天線陣列其場型若要涵蓋較大的範圍，需要針對天線單位採取最佳化設計，而目前相對較少文獻在探討此一因素；所以此專題預計針對適合應用於衛星通訊的圓極化大型天線陣列做深入的研究與探討。

Cubesat integration and testing automation

本專案旨在開發自動化工具以簡化立方衛星的整合與測試流程。目標是建立自動化測試腳本，提升數據採集能力，並實現即時遙測數據可視化，以提高驗證效率。透過 Python 等腳本語言，專案將實現硬體/軟體迴路（HIL/SIL）測試的自動化，減少人工操作並提升可靠性。此外，專案將整合時間序列資料庫與 Grafana 等可視化工具，用於分析測試結果並監控系統效能。

Research on Real-Time Imaging and Object Detection using Synthetic Aperture Radar

Based on existing algorithms for synthetic aperture radar (SAR), this research discusses the possibility of hardware parallelization acceleration to achieve real-time imaging, as well as object detection after imaging.