Radeus Labs Releases 8250 Antenna Drive Unit with Angle and Signal Display

by | Mar 27, 2018 | Announcements , Satcom

“Maintenance friendly” Antenna Drive Unit offers daylight readable angle and signal display.

POWAY, CA – March 27, 2018 — Radeus Labs Inc., a market leader in the design and manufacture of high-performance antenna control systems, released a new version of the 8250 Antenna Drive Unit (ADU). The 8250D builds on the quality and robust operation of the 8250 ADU with the addition of a daylight readable display that shows the antenna look angles (AZ, EL, and Pol), beacon frequency, and relative signal strength in decibels.

Andrew Correnti, Engineering Manager at Radeus Labs notes that, “Many of our customers need the look angles and signal information while they are performing maintenance on their antenna systems. Incorporating this option into our 8250D ADU just makes sense for many of our customers.”

The 8250D ADU jog panel display offers a crisp and readily visible readout of antenna look angles and signal information incorporated into the ADU jog panel. The readout is designed to be visible even in direct sunlight when most displays become unreadable. The 8250D retains the high-quality components from respected companies such as Allen Bradley® and Yaskawa® which increase the performance and reliability of the unit. The 8250D is now available, for more information or to place an order contact us at sales@radeuslabs.comtoday!

Radeus Labs, Inc.

Radeus Labs, Inc., with headquarters and manufacturing facilities in Poway, CA, is a leader in the design, manufacture, and marketing of leading-edge hardware and software systems for the defense and SATCOM markets. Radeus Labs products are thoughtfully designed with a focus on ease of use, high-performance, and sustainability. They are engineered to give exceptional product life spans and deliver added value to our customers. Radeus Labs after sales support are unrivaled in the commercial SatCom market. For more information about Radeus Labs and our high-performance products, visit us at www.radeuslabs.com.

For information about this release, please contact:
Chris Steph
Director of Sales and Marketing
Radeus Labs Inc.
(858) 602-1252
Chris.Steph@radeuslabs.com

Blog

See Our Latest Blog Posts

I/ITSEC 2025: The Trends in Simulation Worth Paying Attention To

itsec 2025-radeus team-ck tan leading technolgy

After a year of AI dominated headlines, I/ITSEC 2025 brought the conversation back to infrastructure. This show was about systems, sustainability, and the real engineering work that keeps training and simulation programs running

And for Radeus Labs, this year felt different; busier, more technical, and packed with the right people in the right conversations.

Here’s what stood out.

MTBF: What It Actually Means and How to Use It Correctly

You're evaluating GPU computing platforms for a mission-critical deployment. Vendor A quotes an MTBF of 100,000 hours. Vendor B claims 150,000 hours. The choice seems obvious: go with Vendor B for 50% better reliability, right?

Not so fast.

If you're making hardware decisions based on MTBF comparisons alone, you're likely making decisions based on incomplete, or worse, misunderstood, information. Mean Time Between Failures remains one of the most widely cited yet most profoundly misunderstood metrics in reliability engineering. And for defense, aerospace, and mission-critical computing environments where failure isn't just inconvenient but potentially catastrophic, this misunderstanding carries real consequences.

Let's set the record straight on what MTBF actually tells you, what it doesn't, and how to use it properly alongside other reliability tools.

SC25: High Performance Computing Meets the AI-Driven Future in St. Louis

A few weeks ago, the Radeus Labs team joined thousands of HPC professionals, researchers, and developers in St. Louis for SC25, the International Conference for High Performance Computing, Networking, Storage, and Analysis. What we found was a conference at an inflection point, where traditional supercomputing meets the explosive demands of AI infrastructure, and where the future of connectivity is being built in real-time.