Application of state space frequency estimation techniques to radar systems

Gulden P, Vossiek M, Storck E, Heide P (2001)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2001

Edited Volumes: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Book Volume: 5

Pages Range: 2877-2880

Conference Proceedings Title: IEEE International Conference on Acoustics, Speech, and Signal Processing

Event location: Salt Lake City, USA

DOI: 10.1109/ICASSP.2001.940247

Abstract

Many applications for FMCW radar systems require the resolution of several closely spaced frequencies. In general the Fast Fourier Transform (FFT) is used for spectrum estimation, despite the inherent resolution problems. To overcome the resolution limitation the state space approach has been proposed in [1-3]. However, most experimental results in [1-3] are based on simulations. This paper points out the differences of the "real world" signal structure to simulated signals, and describes the problems posed by real radar signals. For one of the key steps of the state space algorithm, model order selection, a novel algorithm based on a posteriori analysis is introduced. The feasibility of the new approach is verified with an actual 24 GHz level gauging FMCW radar system. Our approach yields stable and accurate results with a resolution approximately three times higher than the FFT resolution.

Authors with CRIS profile

Martin Vossiek Lehrstuhl für Hochfrequenztechnik

Involved external institutions

Indie Semiconductor US United States (USA) (US)

How to cite

APA:

Gulden, P., Vossiek, M., Storck, E., & Heide, P. (2001). Application of state space frequency estimation techniques to radar systems. In IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 2877-2880). Salt Lake City, USA.

MLA:

Gulden, Peter, et al. "Application of state space frequency estimation techniques to radar systems." Proceedings of the 2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, USA 2001. 2877-2880.

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