  Indoor positioning systems exploiting WLAN signal measurements such as
Received Signal Strength (RSS) are gaining popularity due to high accuracy of
the results. Sets of RSS and other measurements at designated locations from
available WLAN access points (APs) are conventionally called fingerprints and
retrieved from network cards at typically one Hz rate. Such measurement
collection is needed for offline radio-map surveying stage which assigns
fingerprints to locations, and for online navigation stage, when collected
measurements are associated with the radio-map for positioning. As WLAN network
is not originally designed for localization, the network cards occasionally
miss the fingerprints, measurement fluctuations necessitate statistical signal
processing, and surveying process is very time consuming. This paper describes
a fast measurement collection approach that addresses the mentioned problems:
higher probability of measurement acquisition, more data for statistical
processing and faster surveying. The approach is further analyzed for practical
setting applications.
