Name
Abstract | ||
|---|---|---|
Achieving high resolution time-of-arrival (TOA) estimation in multipath propagation scenarios from bandlimited observations of communication signals is challenging because the multipath channel impulse response (CIR) is not bandlimited. Modeling the CIR as a sparse sequence of Diracs, TOA estimation becomes a problem of parametric spectral inference from observed bandlimited signals. To increase resolution without arriving at unrealistic sampling rates, we consider multiband sampling approach, and propose a practical multibranch receiver for the acquisition. The resulting data model exhibits multiple shift invariance structures, and we propose a corresponding multiresolution TOA estimation algorithm based on the ESPRIT algorithm. The performance of the algorithm is compared against the derived Cramer Rao Lower Bound, using simulations with standardized ultra-wideband (UWB) channel models. We show that the proposed approach provides high resolution estimates while reducing spectral occupancy and sampling costs compared to traditional UWB approaches. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/icassp.2019.8683601 | 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
time-of-arrival, multiresolution estimation, cognitive radio, multiband sampling, multipath channel estimation | Multipath propagation,Cramér–Rao bound,Impulse response,Bandlimiting,Pattern recognition,Computer science,Parametric statistics,Artificial intelligence,Sampling (statistics),Time of arrival,Cognitive radio | Journal |
Volume | ISSN | Citations |
abs/1904.08697 | 1520-6149 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tarik Kazaz | 1 | 18 | 4.54 |
| Raj Thilak Rajan | 2 | 0 | 0.34 |
| Gerard J. M. Janssen | 3 | 73 | 19.73 |
| Alle-Jan van der Veen | 4 | 732 | 105.34 |