Galgus is boosting wireless performance in all possible WiFi scenarios thanks to its patented Cognitive Hotspot Technology (CHT). Our Research team is focusing on developing novel indoor localisation technology, which together with the benefits of CHT will make your WiFi network perform better than ever, even in the most demanding situations.
As we have seen in previous posts, none of the aforementioned solutions shown here are free from drawbacks. For that reason, Galgus’ Research Department is focusing on developing novel hybrid solutions to the indoor location problem, which fuse several approaches in a unified algorithm.
The data fusion is done by using machine learning statistical tools, where the uncertainty in position estimation is reduced by combining guesses from different methods. Thanks to this hybrid approach, we are able to estimate the location of several users even when power-driven methods (like those based on RSSI estimation) are not accurate, like in indoor environments with multiple walls (hotels, cruises, offices, …). The location method uses advanced signal processing, geometry and statistics to reduce the estimation error.
The main advantages of Galgus’ solution versus other commercial systems for indoor positioning are:
Of course, after the position estimation has been done, the system administrator may use this information in many different ways. For example, we can apply statistical inference to make predictions about users’ density or roaming behaviors inside the building. We can also gather information about consumer habits and time spent on certain points of the map. In addition, it is easy to monitor the most frequented and crowded areas in an office.
This data may be used to deploy new services like restaurants or vending machines within an airport or to add contextual advertisements. Finally, we may obtain an automatic heat map of the coverage of the WiFi network itself by correlating SNIR and STA locations. This shall help network architects to detect shadow zones and to improve the dissemination of APs within an industrial facility.
Galgus manufactures smart WiFi solutions. We develop technology that enables performance improvement of high-density 802.11 networks, reducing the noise level in the environment, and promoting a more efficient and responsible use of resources.
With its recognised CHT (Cognitive HotspotTM Technology), Galgus provides to various vertical markets a round solution that solves the main challenges that WiFi networks are facing nowadays. Among the main benefits of our patented technology, we shall highlight that CHT increases network capacity, reduces interference, prevents congestion and slow data rates, reduces EMIs (Electro-Magnetic Interference) to critical systems, and enables automatic configuration / automatic failure detection/recovery.
In this article, we have analysed the potential of indoor localisation methods in wireless communications scenarios. As we have seen, none of the aforementioned solutions shown here is free from drawbacks. For that reason, Galgus’ Research Department is focusing on developing novel hybrid solutions to the indoor location problem, which fuse several approaches in a unified algorithm.