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Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems

Wen, Zhaoxi; Liu, Mingqian; Zhao, Nan; Nallanathan, Arumugam; Yang, Xiaoniu; Chen, Yunfei

Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems Thumbnail


Authors

Zhaoxi Wen

Mingqian Liu

Nan Zhao

Arumugam Nallanathan

Xiaoniu Yang



Abstract

Symbiotic chirp-ultra wide bandwidth (UWB) radio system (SCURS) is a UWB radio system with the symbiosis of linear frequency modulation (LFM) and orthogonal frequency division multiplexing (OFDM) signals. It has a high data rate and can transmit data on two channels simultaneously. Moreover, multi-component LFM (MCLFM) parameter estimation plays an important role in the demodulation of SCURS. Furthermore, the complex electromagnetic environment also brings impulsive noise. In this paper, a novel parameter estimation method for MCLFM signals based on the fractional Fourier transform-bald eagle search algorithm (FRFT-BES) and synchroextracting short-time fractional Fourier transform-Hough (SSFT-Hough) with alpha-stable noise is proposed. First, we use a nonlinear transformation to eliminate the negative effect of alpha-stable noise on parameter estimation. Second, we combine the improved BES with FRFT to propose FRFT-BES and use it to estimate the frequency modulation rate. Finally, we propose a new time-frequency (TF) transform method with high TF resolution as SSFT, and we combine it with Hough transform (HT) to propose SSFT-Hough to estimate the initial frequency. Frequency modulation rate and initial frequency are widely used in MCLFM signals separation. Simulation results demonstrate that the proposed method performs well in low mixed signal-to-noise ratio (MSNR), and it is superior to existing methods.

Citation

Wen, Z., Liu, M., Zhao, N., Nallanathan, A., Yang, X., & Chen, Y. (2024). Multi-Component LFM Signal Parameter Estimation for Symbiotic Chirp-UWB Radio Systems. IEEE Transactions on Cognitive Communications and Networking, 10(5), 1608-1619. https://doi.org/10.1109/TCCN.2024.3429375

Journal Article Type Article
Acceptance Date Jul 11, 2024
Online Publication Date Jul 16, 2024
Publication Date 2024-10
Deposit Date Jul 15, 2024
Publicly Available Date Jul 25, 2024
Journal IEEE Transactions on Cognitive Communications and Networking
Electronic ISSN 2332-7731
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 10
Issue 5
Pages 1608-1619
DOI https://doi.org/10.1109/TCCN.2024.3429375
Keywords Index Terms-Alpha-stable noise; multi-component signals; parameter estimation; symbiotic communication
Public URL https://durham-repository.worktribe.com/output/2589158

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