Optimal Carrier Frequency Design for Frequency Diverse Array Mimo Radar
(2023) 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2023-June.- Abstract
In this work, we introduce a novel approach for designing the transmit frequency offset scheme based on Cramér-Rao lower bound (CRLB) minimization for a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar. The problem originates in non-uniform FDA radar where each frequency offset scheme derives from a specific mathematical model, but where no optimization is conducted with respect to the frequency offset design. We propose two frequency selection schemes for FDA-MIMO radar based on A-optimal minimization, both incorporating a priori knowlegdge. The worst case optimal FDA-MIMO (OFDA-MIMOW) radar forms the frequency selection by minimizing the CRLB over a grid of the unknown parameters, whereas the Bayesian optimal... (More)
In this work, we introduce a novel approach for designing the transmit frequency offset scheme based on Cramér-Rao lower bound (CRLB) minimization for a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar. The problem originates in non-uniform FDA radar where each frequency offset scheme derives from a specific mathematical model, but where no optimization is conducted with respect to the frequency offset design. We propose two frequency selection schemes for FDA-MIMO radar based on A-optimal minimization, both incorporating a priori knowlegdge. The worst case optimal FDA-MIMO (OFDA-MIMOW) radar forms the frequency selection by minimizing the CRLB over a grid of the unknown parameters, whereas the Bayesian optimal FDA-MIMO (OFDA-MIMO-B) radar instead minimizes the Bayesian CRLB (BCRLB). The performances of the methods are evaluated using simulated data and compared to other common frequency selection schemes.
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- author
- Cheng, Jie ; Juhlin, Maria LU ; Wang, Wen Qin and Jakobsson, Andreas LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- BCRLB, CRLB, FDA-MIMO, frequency offset optimization, MIMO radar
- host publication
- ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
- series title
- ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- volume
- 2023-June
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
- conference location
- Rhodes Island, Greece
- conference dates
- 2023-06-04 - 2023-06-10
- external identifiers
-
- scopus:85177608881
- ISSN
- 1520-6149
- ISBN
- 9781728163277
- DOI
- 10.1109/ICASSP49357.2023.10095867
- language
- English
- LU publication?
- yes
- id
- 10429ca1-2625-4fc3-adf5-13888904aa51
- date added to LUP
- 2024-01-08 15:45:07
- date last changed
- 2024-01-09 09:44:27
@inproceedings{10429ca1-2625-4fc3-adf5-13888904aa51, abstract = {{<p>In this work, we introduce a novel approach for designing the transmit frequency offset scheme based on Cramér-Rao lower bound (CRLB) minimization for a frequency diverse array multiple-input multiple-output (FDA-MIMO) radar. The problem originates in non-uniform FDA radar where each frequency offset scheme derives from a specific mathematical model, but where no optimization is conducted with respect to the frequency offset design. We propose two frequency selection schemes for FDA-MIMO radar based on A-optimal minimization, both incorporating a priori knowlegdge. The worst case optimal FDA-MIMO (OFDA-MIMOW) radar forms the frequency selection by minimizing the CRLB over a grid of the unknown parameters, whereas the Bayesian optimal FDA-MIMO (OFDA-MIMO-B) radar instead minimizes the Bayesian CRLB (BCRLB). The performances of the methods are evaluated using simulated data and compared to other common frequency selection schemes.</p>}}, author = {{Cheng, Jie and Juhlin, Maria and Wang, Wen Qin and Jakobsson, Andreas}}, booktitle = {{ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings}}, isbn = {{9781728163277}}, issn = {{1520-6149}}, keywords = {{BCRLB; CRLB; FDA-MIMO; frequency offset optimization; MIMO radar}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}}, title = {{Optimal Carrier Frequency Design for Frequency Diverse Array Mimo Radar}}, url = {{http://dx.doi.org/10.1109/ICASSP49357.2023.10095867}}, doi = {{10.1109/ICASSP49357.2023.10095867}}, volume = {{2023-June}}, year = {{2023}}, }