UWB geo-regioning in rich multipath environment

Abstract

We introduce geo-regioning as a method to achieve rough localization in asynchronous UWB networks. The approach is to localize the transmitter position by means of the multipath components in the received channel impulse response (signature). To show the principle feasibility of this approach a first regioning algorithm is introduced and tested with measured data. Therefore, a measurement campaign in a rich multipath environment has been performed. A high number of signatures originating from different regions in a room have been collected. The regioning algorithm presented here is based on the a priori knowledge of the average power delay profiles of the different regions. The performance results show that almost all regions can be localized at reasonable SNR and error probability. We conclude that the geo-regioning approach is a promising alternative or supplement to classical time of arrival based approaches in UWB networks.

Performance Comparison of WiFi and UWB Fingerprinting Indoor Positioning Systems

“…Several works propose CIR-based UWB fingerprinting; many of them have introduced the concept of regions, typically of areas in the order of cm 2 , inside the area of interest A [8][9][10][11]: once a single Rx is placed in A, an extensive CIR measurement campaign is performed for each region while placing the reference Tx at several RN positions, separated by a few centimeters from each other. The performance analysis has typically focused on evaluating the probability of the correct identification of the region in which the Tx is located.…”

“…It is demonstrated that these schemes are highly accurate when line-of-sight (LoS) and perfect time synchronization conditions are verified between ANs and the TN; however, several factors, such as (a) direct path excess-delay/blockage due to non-LoS (NLoS) propagation; (b) clock drifts due to asynchronism; and (c) interference from other users/networks, lead to a significant decrease in accuracy, as a result of their negative impact on the ToA estimation [6,7]. In order to cope with the decrease in accuracy of lateration techniques, the application of the fingerprinting approach has been recently proposed for UWB [8][9][10][11][12][13][14]; in general, fingerprinting relies on two phases: the first, referred to as the offline phase, is a collection of data related to the signal propagation (fingerprints) and with respect to predefined reference node (RN) positions in the area of interest. During the second phase (online phase), the TN position is estimated through the application of pattern-matching techniques between RNs and TN fingerprints.…”

“…Differently from previous works on UWB fingerprinting [8][9][10][11], no regions are defined in the area of interest, and the positioning accuracy is provided in terms of coordinate estimation.…”

Ultra Wideband Systems with MIMO

“…Both the cluster and ray arrivals are modelled by Poisson processes: 16) where λ C and λ R are the cluster arrival rate and ray arrival rate respectively. By definition, τ k,0 = 0 for all k. The parameter 1/λ C is typically in the range of 10-50 ns, while 1/λ R shows a wide variation from 0.5 ns in NLOS situations to more than 5 ns in line-of-sight (LOS) situations [165].…”

Mitigating Congestion by Integrating Time Forecasting and Realtime Information Aggregation in Cellular Networks

“…In order to accomplish rough location estimation for some specific applications within the UWB channel, a channel impulse response (CIR) parameter, which exploits the nature of UWB channels, was nominated by Althaus, Troesch, and Wittneben [33]. In this scheme, the CIR of a transmitter and receiver pair (TX/RX) is unique.…”