Revolutionary hardware technologies, signal
processing algorithms and system innovations that enable ultra-low-power and high-precision GNSS positioning.
GNSS positioning errors come from many different sources, which fall into three major categories: errors inherent to the satellite signal scheme (C/A code, carrier phase), errors introduced when signal is traveling far from the ground (e.g. atmosphere errors), and errors introduced by objects on the ground (e.g. signal multi-path due to reflection).
Current existing high precision GNSS solutions use Real time Kinematics (RTK) technology, which was invented back in 1990s, to reduce the first two categories of positioning errors and achieve centimeter accuracy in certain environments. Proved to be accurate and reliable in open-sky environments, however, existing high precision solutions have been unable to meet the emerging demands of new applications, such as autonomous vehicles, which require seamless and extremely reliable centimeter accuracy in so-called urban canyon environments, where satellite signals are often compromised, reflected, or blocked by skyscrapers, trees, etc.
Kolmostar’s high precision GNSS solution achieves reliable centimeter accuracy in urban canyon environments. This new level of reliability and availability will pave the path for the next generation of sensing and navigation applications, such as autonomous vehicles, augmented reality, and more beyond.
GNSS sensors are embedded in billions of devices to provide position, velocity, and time. GNSS sensors consume a lot of battery power, 10x higher than typical accelerometers. Battery life of mobile devices is significantly shortened when GPS is turned on. For example, A typical fitness band with a 70mAh battery can last up to 2 weeks without charging. However, when GPS is turned on, this same device would last for only 3 to 5 hours, barely enough for a marathon.
In fact, current existing GNSS sensors could reduce their power consumption at the price of providing a not-so-accurate positioning result. Yet, these very large positioning errors will certainly impede user experience and will not be very useful in practice. Kolmostar’s ultra-low-power GNSS solution is able to reduce the power consumption of GNSS sensors by up to 150x while still maintain the same level of positioning accuracy. This creates an opportunity to add GNSS sensors to any moving objects you want, without worrying about battery life at all.
All these generated data supports various applications, such as sharing economy. The data will also be used by AI to better understand the world and make our life more convenient.