Bluvec Supporting Remote ID Systems

Bluvec Supporting Remote ID Systems

This week we did a poll on our LinkedIn page asking, “How do you think Remote ID technology will impact the C-UAS industry?”.

While 43% of our audience believes it enhances C-UAS detection, the other 43% need more information about the Remote ID technology.

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This article will explain Remote ID and how Bluvec supports this system

What is Remote ID? 

With the exponential growth of the drone industry and the increasing integration of drones into airspace, there is a need for effective regulations and systems to ensure safe and responsible drone operations. Remote ID, also known as Remote Identification, refers to a system that enables the identification and tracking of unmanned aircraft systems (UAS), commonly known as drones, in real-time, which was introduced by the Federal Aviation Administration of United States and followed by the European Union and Japan. 

Remote ID is the ability of a drone in flight to provide identification and geolocation information remotely through a broadcast signal. A drone complying with the Remote ID regulations is required to broadcast its own status in real-time, including by not limited to the drone identifications (usually the serial number), operator identifications, geolocation, altitude, velocity and direction of the aircraft, geolocation of the remote pilot, timestamp, etc. With the Remote ID system, it will be more precise for a C-UAS detector to detect and identify drones that comply with the regulations and geolocate both aircraft and remote pilots. 

As of September 2022, all newly manufactured drones are required to comply with the FAA remote ID regulations. Beginning September 16, 2023, all drone pilots who are required to register their drones must operate in accordance with the rule on Remote ID, including both newly manufactured drones but also existing models. 

 How does the Remote ID affect the C-UAS industry? 

The implementation of Remote ID can have both direct and indirect impacts on the Counter-Unmanned Aircraft Systems (C-UAS) industry. C-UAS refers to the technologies and systems designed to detect, track, and mitigate unauthorized or malicious drone activities. Here are a few ways Remote ID can affect the C-UAS industry: 

  • Enhanced Detection Capabilities

Remote ID enables C-UAS systems to detect and identify drones operating in a given airspace more effectively. By having access to real-time information about a drone’s identity and flight parameters, C-UAS systems can improve their ability to differentiate between authorized and unauthorized drones, thereby enhancing their detection capabilities. 

  • Precise Geolocation and Tracing of Targets

Remote ID provides real-time geolocation of both aircraft and remote pilots. By detecting those signals, C-UAS systems could provide real-time geolocation with traces of both the aircraft and the linked remote pilot on the ground. Such capability was never achieved by the traditional C-UAS systems. 

  • Identification of Threats

Remote ID provides valuable data that helps C-UAS systems identify potential threats or suspicious activities involving drones. With the ability to track and monitor drones in real time, C-UAS operators can analyze the remote ID reports and identify any drones that may pose a security risk or violate airspace regulations. 

  • Interoperability Challenges

The implementation of Remote ID introduces the need for interoperability between remote ID systems and C-UAS technologies. C-UAS systems should be able to receive and process remote ID data from various sources and integrate it seamlessly into their detection and mitigation processes. Ensuring interoperability and compatibility between these systems is crucial for effective C-UAS operations. 

Overall, Remote ID can have a positive impact on the C-UAS industry by providing valuable data for threat detection, identification, and compliance monitoring. It can enhance the capabilities of C-UAS systems and enable more targeted and efficient responses to unauthorized drone activities. However, it also poses challenges in terms of system integration and interoperability, which need to be addressed to maximize the effectiveness of both Remote ID and C-UAS technologies. 

How does Bluvec support the Remote ID system? 

The Remote ID signal is required to be broadcasted in WiFi and/or Bluetooth protocols. It is possible to detect Remote ID signals with a commercial cellphone by installing a Remote ID detection APP where, many of which have been released in the Apple APP Store and Google Play Store. However, the capability of such detection APPs is very limited, with a very near detection range and low refresh rate. The detection coverage is usually within 200 meters (about 656.17 ft). Tracing drones is almost impossible. Such kinds of apps can be used for entertainment purposes but do not satisfy industry or security requirements. 

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Blusensor B-Series – Blusensor LV – Blucase P5000

Bluvec Blusensor series products and Blucase P5000 provide enhanced hardware and signal processing algorithms to support industry-level Remote ID detection. The radio platform is based on one of the most advanced software-defined radio (SDR) chipsets provided by Analog Devices, namely AD936x, and the very low noise amplifier (LNA) chip manufactured by Mini-Circuits at the front of the radio chip to provide about 1.0 dB noise figure for weak signal amplifying. Bluvec precisely tunes the SDR platform at 2.4 GHz to meet the requirements of Remote ID detection. On top of the radio system, Bluvec develops its own software-based demodulator to support 802.11a/b/g/n (WiFi) and 802.15.1 (Bluetooth) demodulation and decoding. In Bluvec’s radio demodulator, pure floating-point numbers are employed to enhance the signal processing precision compared to the fixed-point signal processing in commercial WiFi/Bluetooth cards. In the meanwhile, due to relatively unlimited computing resources, more complicated algorithms are implemented in Bluvec demodulators, such as more precise carrier-frequency-offset (CFO) estimation and compensation, LMMSE-based channel estimation, deeper Viterbi decoder, float-point-based soft-decoding, etc. To accelerate the signal processing, Bluvec’s Remote ID system leverages the superpower of the embedded GPU system, namely, Jetson, manufactured by NVIDIA. With all these advanced technologies, Bluvec extends the Remote ID detection range to multiple kilometres and a high refresh rate to build almost real-time traces of the drones and pilots. 

When will Bluvec software support Remote ID detection? 

Bluvec C-UAS software version 4.2.10, which was released on Jun 08, 2023, has fully supported the Remote ID system, including more than 100 different drone models’ detection, identification and tracking. The latest Remote ID drone library can always be updated from the Bluvec cloud system. Note that the Remote ID-like detection, identification and tracing of DJI drones have been supported by Bluvec with DSI-Gen2 technologies since 2022.

Author: Leyuan Pan Director of R&D at Bluvec Technologies.