"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates"
"uuid:8f9c6c14-2692-47e1-90d6-414ad5ea13b7","http://resolver.tudelft.nl/uuid:8f9c6c14-2692-47e1-90d6-414ad5ea13b7","Time Delay Estimation Based on Multi-band Multi-carrier Signal in Multipath Environments","Dun, H. (TU Delft Mathematical Geodesy and Positioning); Tiberius, C.C.J.M. (TU Delft Mathematical Geodesy and Positioning); Janssen, G.J.M. (TU Delft Circuits and Systems); Diouf, C.E.V. (TU Delft Mathematical Geodesy and Positioning)","","2019","The matched filter is the most common approach for time delay estimation and ranging in positioning systems. The accuracy is mainly determined by the signal bandwidth and multipath propagation condition. Instead of occupying an enormous signal bandwidth, aggregating multiple signal bands, which are transmitted either simultaneously or sequentially from the same transmitter, can still provide a very high time resolution due to its large virtual signal bandwidth. This paper discusses time delay estimation based on multiband signals, considering precision, range ambiguity and resistance to multipath. Combining carrier phases from different bands, which are physically not perturbed by a sampling frequency offset, can also mitigate the bias of time delay estimation due to the sampling frequency error. Simulation results show that using two groups of multiband signals, which are sparsely placed in the signal spectrum, can significantly improve the accuracy of time delay estimation in the presence of multipath and sampling frequency offset.","","en","conference paper","ION - Inst. of Navigation","","","","","Accepted Author Manuscript","","","","","Mathematical Geodesy and Positioning","","",""
"uuid:971a17cd-8755-4438-875d-a78a83ce3717","http://resolver.tudelft.nl/uuid:971a17cd-8755-4438-875d-a78a83ce3717","Positioning based on OFDM signals through phase measurements","Dun, H. (TU Delft Mathematical Geodesy and Positioning); Tiberius, C.C.J.M. (TU Delft Mathematical Geodesy and Positioning); Janssen, G.J.M. (TU Delft Circuits and Systems)","","2018","High accuracy terrestrial radio positioning systems, as a complement to a global navigation satellite system (GNSS), are attracting significant attention from academia and industry. This article investigates the feasibility of positioning based on carrier phase measurements of orthogonal frequency division multiplexing (OFDM) signals. Generally, the carrier phase cannot be obtained from a baseband central carrier (i.e., direct current (DC) subcarrier) of OFDM signals, so we derived the carrier phase by calculating the average phase from two symmetrically located pilot sub-carriers. The sampling clock error and the timing synchronization error, which often occur in practice, can be cancelled by measuring the phase difference between two symmetrically located sub-carriers. The presented approach is simulated for a positioning system based on IEEE 802.11p Wireless LAN. Due to the presence of an initial carrier phase offset, the integer carrier phase ambiguity can, as expected, not be properly resolved. Although we can only obtain a 'float' solution from the observation model, the position accuracy can still achieve decimetre level.","","en","conference paper","IEEE","","","","","","","","","","Mathematical Geodesy and Positioning","","",""
"uuid:965442b7-e5b8-4cad-ae00-4f9a4797087b","http://resolver.tudelft.nl/uuid:965442b7-e5b8-4cad-ae00-4f9a4797087b","UWB pulse detection and TOA estimation using GLRT","Xie, Y. (TU Delft Circuits and Systems); Janssen, G.J.M. (TU Delft Circuits and Systems); Shakeri, S.M. (TU Delft ImPhys/Computational Imaging); Tiberius, C.C.J.M. (TU Delft Mathematical Geodesy and Positioning)","","2017","In this paper, a novel statistical approach is presented for time-of-arrival (TOA) estimation based on first path (FP) pulse detection using a sub-Nyquist sampling ultra-wide band (UWB) receiver. The TOA measurement accuracy, which cannot be improved by averaging of the received signal, can be enhanced by the statistical processing of a number of TOA measurements. The TOA statistics are modeled and analyzed for a UWB receiver using threshold crossing detection of a pulse signal with noise. The detection and estimation scheme based on the Generalized Likelihood Ratio Test (GLRT) detector, which captures the full statistical information of the measurement data, is shown to achieve accurate TOA estimation and allows for a trade-off between the threshold level, the noise level, the amplitude and the arrival time of the first path pulse, and the accuracy of the obtained final TOA.","GLRT; Positioning; Ranging; Sub-Nyquist sampling; Time-of-arrival (TOA) estimation; Ultra-wide band (UWB)","en","journal article","","","","","","","","","","","Circuits and Systems","","",""
"uuid:b6dad6bc-be80-4615-b428-437d57c53f43","http://resolver.tudelft.nl/uuid:b6dad6bc-be80-4615-b428-437d57c53f43","Modeling Distance and Bandwidth Dependency of TOA-Based UWB Ranging Error for Positioning","Bellusci, G.; Janssen, G.J.M.; Yan, J.; Tiberius, C.C.J.M.","","2009","A statistical model for the range error provided by TOA estimation using UWB signals is given, based on UWB channel measurements between 3.1 and 10.6?GHz. The range error has been modeled as a Gaussian random variable for LOS and as a combination of a Gaussian and an exponential random variable for NLOS. The distance and bandwidth dependency of both the mean and the standard deviation of the range error has been analyzed, and insight is given in the different phenomena which affect the estimation accuracy. A possible application of the model to weighted least squares positioning is finally investigated. Noticeable improvements compared to the traditional least squares method have been obtained.","","en","journal article","Hindawi Publishing Corporation","","","","","","","","Electrical Engineering, Mathematics and Computer Science","Telecommunications","","","",""