Dobereiner M, Kaske M, Schwind A, Andrich C, Hein MA, Thoma RS, Galdo GD (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 145-148
Conference Proceedings Title: EuRAD 2019 - 2019 16th European Radar Conference
Event location: Paris, FRA
ISBN: 9782874870576
This contribution describes a maximum-likelihood based joint delay-Doppler estimation algorithm for bi-static radar measurements. The data model used by the estimator considers delay and Doppler of multiple propagation paths explicitly. As we aim at considering typical signals used for communications, the transmit signal is rather long compared to signals in channel sounding. Therefore, the Doppler shift has to be modeled as a linearly changing phase within a single symbol. The derivation of an iterative Gauss-Newton algorithm to solve the resulting least-mean-squares problem is shown. The model order is determined dynamically by means of the Fisher information matrix and the Cramér-Rao lower bound. The functionality is shown using measurements of a bi-static radar in a semi-anechoic chamber.
APA:
Dobereiner, M., Kaske, M., Schwind, A., Andrich, C., Hein, M.A., Thoma, R.S., & Galdo, G.D. (2019). Joint high-resolution delay-doppler estimation for bi-static radar measurements. In EuRAD 2019 - 2019 16th European Radar Conference (pp. 145-148). Paris, FRA: Institute of Electrical and Electronics Engineers Inc..
MLA:
Dobereiner, Michael, et al. "Joint high-resolution delay-doppler estimation for bi-static radar measurements." Proceedings of the 16th European Radar Conference, EuRAD 2019, Paris, FRA Institute of Electrical and Electronics Engineers Inc., 2019. 145-148.
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