Canada: Manufacturer of autopilot systems, ComNav Technology has released its advanced K700 and K708 GNSS OEM boards to the international market. With the advanced ComNav application-specific integrated circuit (ASIC) chip, K7-series OEM boards have higher observation data quality and lower power consumption compared to previous K5-series OEM boards.
The data output rate also increases substantially by working with a new Atmel processor. As a cost-effective GNSS OEM board, K700 is scalable for sub-meter to centimeter-level positioning applications such as geographic information systems (GIS), precision agriculture, marine and automotive systems.
It can track GPS L1, BeiDou B1, GLONASS L1 and SBAS, and also supports PPS, Event Marker and short baseline RTK. The size, weight and power specifications of the K700 make it easy to be customized and integrated, the company said.
For the K708 OEM board, the inside GNSS tracking engine with 388 channels is capable of tracking all current and future constellations. K708 is designed with strong compatibility and built-in functions, including high-accurate PVT output, long baseline RTK and reserved webserver service.
K708 OEM Board
The 8-GB onboard memory provides sufficient storage space to record the raw data without an external memory card. Therefore, K708 OEM board is designed for CORS, deformation monitoring system and related high-accuracy GNSS positioning applications.
Quantum Algorithm
ComNav has also released its new generation Quantum algorithm to international market. The Quantum algorithm can be easily achieved through a firmware upgrade (version 2.5.2 and above), and suits all ComNav OEM boards and OEM-based receivers.
An upgrade to ComNav’s Quan algorithm, the Quantum algorithm dramatically improves the stability and reliability of RTK positioning in complex environments, as well as providing a DP-filter enhancement for the ComNav GNSS products.
Applications such agricultural guidance and fleet management, where pass-to-pass accuracy is important, will benefit from the advanced smoothing filter in standalone mode. The company’s testing shows smoother and consistent performance, reaching 20-cm pass-to-pass accuracy.
Moreover, the Quantum algorithm provides better CORS compatibility, which means that users can acquire and keep high-accurate solutions even if the CORS network exhibits a poor geometry distribution.
