Improving the accuracy of model order estimation in multiband signal fusion
Improving the accuracy of model order estimation in multiband signal fusion
- Author(s): D. Xiong 1 ; J. Wang 2 ; Z. Chen 1 ; Y. Jiang 1
- DOI: 10.1049/icp.2021.0515
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- Author(s): D. Xiong 1 ; J. Wang 2 ; Z. Chen 1 ; Y. Jiang 1
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View affiliations
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Affiliations:
1:
Science and Technology on Metrology and Calibration Laboratory , Beijing Institute of Radio Metrology and Measurement , Beijing , China ;
2: School of Information and Electronics , Beijing Institute of Technology , Beijing , China
Source:
IET International Radar Conference (IET IRC 2020),
2021
p.
1707 – 1710
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Affiliations:
1:
Science and Technology on Metrology and Calibration Laboratory , Beijing Institute of Radio Metrology and Measurement , Beijing , China ;
- Conference: IET International Radar Conference (IET IRC 2020)
- DOI: 10.1049/icp.2021.0515
- ISBN: 978-1-83953-540-6
- Location: Online Conference
- Conference date: 04-06 November 2020
- Format: PDF
This paper proposes a method to estimate the model order based on the singular values of a synthetic real matrix. The synthetic data matrix includes the complex observation data and its conjugate data, which fully exploits the existing data information, is more suitable for model order estimation of multiband signal fusion spectrum than the complex observation matrix. Simulation experiments show that this method has better results than the traditional model order estimation methods based on complex observation data matrix, the model order can be estimated at a lower signal to noise ratio (SNR).
Inspec keywords: sensor fusion; matrix algebra; singular value decomposition; estimation theory
Subjects: Other topics in statistics; Algebra; Data handling techniques; Sensor fusion; Algebra; Signal processing and detection; Other topics in statistics