Critical Need
Beamforming, the signal processing technique used today for advanced sensor applications, represents the state of the art, but it also comes with high computational costs and resolution limitations. In multiple markets, high resolution and low latency are critical for threat detection and autonomy. For example, conventional radars used in advanced driver-assistance systems (ADAS) can identify where something is, and possibly where it's headed, but not what the object is.

Technology Vision
Current radar development efforts to achieve high-resolution imaging capabilities rely on computationally complex machine learning or developing new, higher-cost, and often bulkier hardware. SoloPulse has rederived the foundational mathematics that defines radar signal processing. By leveraging quantum-based wavefield models and fast transforms, SoloPulse software enables high-resolution radar capabilities using conventional, off-the-shelf radar hardware. Further, while SoloPulse software does not require novel hardware or machine learning models to obtain high-resolution radar imaging, SoloPulse software can work in tandem with these other advancements and further augment their performance.

Potential for Impact
SoloPulse offers a platform technology suite with both sensing and communication applications. In addition to enabling enhanced safety features for vehicles on the road today, SoloPulse’s software sensing capabilities will augment the scale of autonomy, enable 5G to better service densely populated areas, and eventually create the opportunity to bring compact medical imaging devices to rural areas that lack access to larger hospital systems.