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Taiwan is nearly a world-class leader in the upstream of the LEO satellite supply chain (RF PA, filters, high-frequency PCB), and has decent participation in the downstream (ground terminals, antennas) — but a structural void exists in the hottest new theme of 2025–2026: mid-stream C, Orbital Data Center (ODC) hardware integration.
This is not an accident. It is a structural opportunity window.
Designing a phased array transmitter for space is not just a matter of getting the RF circuitry right.
Architecture selection, signal chain calibration, PA linearization, thermal reliability, radiation hardening — every layer involves trade-offs, and every decision influences the next. This post is drawn from my work on the XT-144 system design and measurement during my time at the RFVLSI Lab at NCTU and at Tron Future Tech. The goal is to connect the logic behind each of those decisions.
In March 2026, Jensen Huang said something on the GTC stage:
"Space computing, the ultimate frontier, has arrived."
This was not a metaphor. In November 2025, US startup Starcloud launched an NVIDIA H100 into orbit (Starcloud-1) and completed the first large language model training session in space. Two months later, on January 11, 2026, Axiom Space launched two orbital data center nodes (ODC Node 1 & 2), connected them to Kepler Communications' optical relay network, and began offering cloud compute services to external customers.
Earth orbit has officially become a new location class for data centers.
設計一個 800 Mbps、X-band 的 LEO 衛星傳輸器，最難的部分不是 RF 電路本身——而是量測完之後，面對一個歪七扭八的星座圖，你知道問題在哪嗎？
這篇文章整理自交通大學電子所謝書超的碩士論文，記錄了一套 Zero-IF X-band 傳輸器從「星座點一團亂」到「EVM 達標通過 SEM」的完整校正歷程。有些眉角，教科書上找不到。
This post captures my current engineering thesis across AI systems, space infrastructure, blockchain, and RF validation.
Bugs encountered during New Product Introduction (NPI) are eighty percent not the "wrong line of code" variety of pure software problem — they are cross-layer interactions: hardware design passes review but SMT variation kills a certain batch; ATE test passes but the system side hits a firmware corner case because of a different profile; everything works in the lab until the customer's environment surfaces a coexistence interference issue.
This post fully documents the checklist I use on Wi-Fi / RF SoC product lines to "classify first, find root cause second." Future cases can be run through this list from the top.
This page updates my radiation test blog into a practical engineering workflow and includes simple simulation tools.
These two calculators are for quick mission trade studies, not qualification signoff.
The development of wireless scanning technology began in the late 19th century, with fixed narrow beams produced by high-gain antennas. During World War II, the invention of radar enabled high-gain antennas to rotate mechanically, scanning the beam to achieve full 360° coverage.
To eliminate mechanical rotation, extend equipment lifespan, and improve multi-target tracking capability, PESA (Passive Electronically Scanned Array) technology was introduced in the 1960s. Starting from the 1980s, as high-frequency semiconductor technology matured, various AESA (Active Electronically Scanned Array) implementations followed.
While each new generation of wireless scanning technology is more complex than the last, system performance — detection range, resolution, tracking capability, and reliability — has improved dramatically with each generation.