SKU: 51887715232

ImmersionRC Ghost Átto 2.4Ghz Rx

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Description

ImmersionRC Ghost Átto 2.4Ghz RxThe Ghost tto receiver weighs in at about 0. 6g, and is only 14. 8 x 11. 5mm, a 15% smaller footprint than its closest competitor. Most standard protocols are supported, including PWM, SBus, Fast SBus (200k), SRXL 2 (400k) and an inverted SBus (or rather an inverted inverted SBus) to increase flexibility with F4 FCs. Deja Vu binding ensures that receivers already known by a Ghost transmitter (through a previous bind operation) no longer require a

The Ghost Átto receiver weighs in at about 0.6g, and is only 14.8 x 11.5mm, a 15% smaller footprint than its closest competitor.

Most standard protocols are supported, including PWM, SBus, Fast SBus (200k), SRXL-2 (400k) and an inverted SBus (or rather an inverted-inverted SBus) to increase flexibility with F4 FCs.

Deja-Vu binding ensures that receivers already ‘known’ by a Ghost transmitter (through a previous bind operation) no longer require a button press to bind them. This also goes for new receivers, which will bind for the first time without the need for the button (all of this because we can’t stand tearing models open to find that buried bind button).

Features

  • 2.4GHz ISM Band
  • ‘JR’ Compatible Transmitter with Diversity Transmission
  • One Of The Smallest Receivers On the Market
  • Chirp Spread Spectrum, with Adaptive FHSS
  • Crazy Race Performance, 222.22Hz updates
  • ~4ms End to End Latency, with OpenTx Integration
  • More range than most pilots will ever need

Specifications

  • Downlink RF Power: +13dBm
  • Sensitivity: -117dBm in Long Range mode
  • Serial Formats: SBus, SBus-Fast (200k) , SRXL-2 (400k), GHST, SBus Inverted
  • Firmware: Over-the-air (OTA) upgradable
  • Power Supply: 5V recommended, as low as 3.3V tolerated
  • vTx Control: Tramp control from ‘T’ pin on Rx, regardless of selected serial format
  • Dimensions: 14.8mm x 11.5mm, 0.6g (w/o antenna)
  • Rx Noise Floor Analysis: Auto on power-up, or on demand from the Tx

Orqa Goggle Integration

That space on the FPV.Connect board… yeah, that is for a Ghost receiver, the Átto.

Ghost transmitters and receivers can form a network, without the need to use bluetooth or wifi, and communicate between themselves without sacrificing critical control performance.

Clear channel scan with automatic channel assignment, auto-start DVR recording when throttle stick is raised, and a bunch of other cool features planned for 2020.

Proton Packs for Days

Simple PCBs designed to dramatically simplify wiring, mounting, and cooling of Tramp Nano + Ghost combinations.
36x36 single-sided, 20x20 double sided, 20x20 single sided, ‘Toothpick style’, and a special version designed for the Five33 Tiny Trainer.

qTee Antennas

qTee, a.k.a ‘Cutie’ antennas are center-fed dipoles, with integral balun to ensure no cable radiation, and without unexpected nulls in the radiation pattern.
Tip to Tip length of just 60mm, easy to install in anything from a Whoop™ to an X-Class quad

Systems Integrators/Manufacturers

ImmersionRC is open to discuss with manufacturers who wish to embed Ghost into other systems (Hobby, Industrial, Law Enforcement, etc.). An embedded Ghost 2.4GHz Rx occupies approx. 10mm x 10mm of PCB space.

For use on sub-GHz bands, the ‘Red Ghost’ product line can be custom ordered for use on licensed bands from 140MHz to 1GHz.

GPS + Noise

Another advantage of running 2.4GHz instead of the more traditional sub-GHz frequencies for long range is that 2.4GHz has no harmonics that can desensitize GPS receivers (which are in the 1.5GHz band), so GPS position fixes become more precise.
In addition, Drone/Quad/UAV electrical noise due to fast switching signals is broadband, and also sub-GHz (typically sub-500MHz), and doesn’t desensitize the 2.4GHz Ghost receiver.

Includes

  • 1 x Atto Receiver
  • 1 x qTee Antenna
  • Silicone Cables
  • Heat Shrink
Shipping Notes
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Exchange/Return Notes
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SKU: 51887715232

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J
Jiewen Wang
Omaha, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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Reviewed in the United States on July 2, 2025
N
Nader
Boise, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
N
noam barkay
New York, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
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Ryan Meyer
Massapequa, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Dallas, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025

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