Multistatic tracking experiment with a WiFiRAD passive radar

A Wi-Fi based passive radar can be used for localization of objects in the vicinity of several access points, which are used as illumination sources. However, the transmission of Wi-Fi signal is not continuous — the activity of access points depends on the transmitted data and is totally unpredictable from the passive radar point of view. As a result, the ability to detect and measure an object using a given transmitter illumination changes at random. Thus, it is not possible to use a traditional Kalman filter with update of full Cartesian measurement. Instead we propose to use a filter with sequential update, where the object state is updated with a single measurement of bistatic range whenever it is available. The paper presents results of an experiment with live data, where an object was localized with use of an experimental Wi-Fi based passive radar (WiFiRAD) constructed at Warsaw University of Technology.