Celeno launches the world’s first connectivity client chip combining Wi-Fi, Bluetooth, and Doppler Radar

30 May, 2021

The new chip leverages Wi-Fi 6/6E, BT/BLE 5.2 and Celeno’s novel Wi-Fi Doppler Radar to provide a connectivity and sensing solution for IoT end points, multimedia devices, and commercial applications

Celeno launches the world’s first connectivity client chip combining Wi-Fi, Bluetooth, and Doppler Radar

Above: A Doppler spectrogram produced by Wi-Fi signals

Ra’anana, Israel based Celeno Communications, announced the launching of the world’s first single chip solution for client devices combining Wi-Fi 6/6E, BT/BLE (Bluetooth/Bluetooth Low Energy) 5.2 and Celeno’s novel Wi-Fi Doppler Radar. The CL6000 “Denali” product family Doppler Radar is a Wi-Fi based sensing technology, that employs the Doppler effect and standard Wi-Fi packets.

It can track an object’s location or sense its presence or motion characteristics by using a single Wi-Fi device. The solution leverages standard Wi-Fi and operates in the 5GHz and 6GHz bands, to “see” through walls without requiring line of sight and/or dependence on light conditions.

Wi-Fi Doppler Imaging technology uses the Wi-Fi signal to generate imaging data that can be interpreted into insight about the movements of people and objects within a given environment. The Doppler effect (Doppler shift) is the change in frequency or wavelength of a wave in relation to an observer who is moving relative to the wave source.

The Doppler signature produced by the moving objects is analyzed by machine learning classifiers, which locate, monitor, and assess the behavior of such objects and the situation itself. The technology enhances the contextual interpretation of the event, enabling an endless variety of applications.

A group photo of Celeno's team near the company's HQ in Ra'anana, Israel — A group photo of Celeno’s team near the company’s HQ in Ra’anana, Israel

A Doppler spectrogram is a representation of the of doppler frequencies generated by a moving object over time. They are highly correlative to common human motions such as falling, walking, bending over, sitting down, standing up, etc.

This “Doppler signature” is analyzed by machine learning classifiers, which locate, monitor, and assess the behavior of such objects and the situation itself. “We are excited to bring this disruptive solution to the Wi-Fi industry,” said Gilad Rozen, CEO of Celeno. The CL6000 product family will start sampling with customers in the first quarter of 2022.

Posted in: News , Semiconductors , Wireless

Posted in tags: CELENO , Doppler Radar , WI-FI