Abstract
In this paper, we consider the problem of dynamic selection of frequency modulated waveforms and their parameters for use in agile sensing. The waveform selection is driven by a tracker that uses probabilistic data association to track a single target in clutter, employing measurements derived from a nonlinear observations model. We present an algorithm that performs the selection so as to minimize the predicted mean square error which is computed using the unscented transform. We compare and analyze the performance of several trapezoidal envelope frequency modulated waveforms with different time-frequency structures using the Cramer-Rao lower bound. The simulation results indicate that the dynamic selection of waveforms and their corresponding parameters improves the tracking performance.
Original language | English (US) |
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Title of host publication | 2006 International Waveform Diversity and Design Conference, WDD 2006 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-7 |
Number of pages | 7 |
Volume | 2018-January |
ISBN (Electronic) | 9781538648483 |
DOIs | |
State | Published - Mar 21 2018 |
Event | 2nd International Waveform Diversity and Design Conference, WDD 2006 - Lihue, United States Duration: Jan 22 2006 → Jan 27 2006 |
Other
Other | 2nd International Waveform Diversity and Design Conference, WDD 2006 |
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Country | United States |
City | Lihue |
Period | 1/22/06 → 1/27/06 |
Keywords
- clutter
- CRLB
- tracking
- waveform-agile sensors
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Instrumentation