Title | ||
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Delay Estimation for Time Synchronization of a Bistatic Transfer Function Measurement Setup to Single Received Pulses |
Abstract | ||
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In this paper, an efficient novel two-staged signal processing approach to synchronize a receiver to single received pulses is presented. Based on delay estimation between the transmitted and received signal the beginning of a single measurement pulse is indicated. In order to measure the transfer function of rural environments a pulse modulated chirp train is transmitted. Because of the bistatic nature of the measurement system a pulse synchronization in the receiver is needed to process each received pulse individually to estimate the transfer function over several pulses and to further improve estimation accuracy. Our approach uses a spectral windowed generalized cross-correlation with a kernel function to get a prewhitened correlation spectrum, leading to sharper cross-correlation peaks in time domain and a more accurate delay estimation in the first stage. Because the prewhitening step and spectral windowing introduce a sinc-like convolution with the time domain signal, sinc-interpolation is performed to estimate the delay. We demonstrate the performance of our approach both in simulation and with real measurement data. |
Year | DOI | Venue |
---|---|---|
2019 | 10.23919/SPA.2019.8936787 | 2019 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) |
Keywords | Field | DocType |
Generalized Cross-Correlation,Interpolation,Synchronization,Transfer Function Estimation | Time domain,Signal processing,Synchronization,Convolution,Computer science,Algorithm,Pulse (signal processing),Transfer function,Bistatic radar,Chirp | Conference |
ISSN | ISBN | Citations |
2326-0262 | 978-1-7281-3990-6 | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michael Kohler | 1 | 0 | 0.34 |
Alexander Saam | 2 | 0 | 0.34 |
Josef Worms | 3 | 0 | 0.34 |
Daniel W. O'Hagan | 4 | 0 | 0.34 |
Jan Novacek | 5 | 0 | 0.34 |
Oliver Bringmann | 6 | 586 | 71.36 |