The collaboration will provide designers with a power-efficient, high-accuracy GPS solution for battery-operated devices without the additional cost of a dedicated GNSS chip.
"Today's advanced navigation systems are facing unique challenges when being implemented in power-constrained IoT devices," said Ambroise Popper, CEO at Nestwave. "By combining Nestwave's low power geolocation software with Synopsys' efficient ARC IoT Communications IP Subsystem, we can deliver a geolocation solution that offers greater accuracy, lower power consumption, and lower cost compared to existing GNSS solutions."
The ARC IoT Communications IP Subsystem is an integrated hardware and software solution that combines Synopsys' DSP-enhanced ARC EM9D processor, hardware accelerators, dedicated peripherals, and RF interface to deliver efficient DSP performance for ultra-low bandwidth IoT applications.
Nestwave's GNSS solution takes advantage of the ARC EM9D processor's efficient DSP capabilities and ability to add dedicated hardware accelerators or custom instructions using APEX technology to reduce frequency requirements, giving customers additional performance bandwidth. The ARC EM9D processor is supported by the MetaWare Toolkit, which includes a rich library of DSP functions, allowing software engineers to rapidly implement algorithms from standard DSP building blocks.
Nestwave has developed an ultra-low power, advanced global navigation satellite systems (GNSS) solution for use in IoT applications. When integrated with an IoT modem such as NB-IoT, Cat M1, LoRa or Sigfox, the solution offers low-cost geolocation for emerging applications such as asset tracking, smart factories, and smart cities, without the need for an external GNSS chip.
"Emerging IoT applications are demanding geolocation functionality with high-accuracy and ultra-low power consumption," said John Koeter, senior vice president of marketing and strategy for IP at Synopsys. "The combination of Synopsys' ARC IoT Communications IP Subsystem with Nestwave's GNSS technology will help designers significantly improve geolocation performance, reduce frequency requirements and lower overall power consumption for battery-powered IoT applications."
