Abstract
Compressive sensing and processing delivers high resolution data using reduced sampling rates and computational effort compared to Nyquist sensing and processing. Compressive processing, however, results to an increase in estimation error, which is particularly high when using a non-adaptive compressive sensing scheme. In this work, an adaptive compressive acquisition method is proposed for target tracking that utilizes information on target state available from the sequential tracking process. The proposed method reduces the peak ambiguity function sidelobe level compared to a non-adaptive method, thus improving tracking performance while adding little complexity to the compressive receiver.
Original language | English |
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Title of host publication | 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings |
Pages | 4256-4259 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2011 |
Event | 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic Duration: 22 May 2011 → 27 May 2011 |
Other
Other | 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 22/05/11 → 27/05/11 |
Keywords
- Ambiguity function
- compressive sensing and processing