Research Article
FRI Sampling for Ultra-wideband Gaussian Pulses Based on Non-ideal LPF
@INPROCEEDINGS{10.1007/978-3-031-04245-4_38, author={Linlin Chen and Guoxing Huang and Chenyiming Wen and Weidang Lu and Yu Zhang}, title={FRI Sampling for Ultra-wideband Gaussian Pulses Based on Non-ideal LPF}, proceedings={6GN for Future Wireless Networks. 4th EAI International Conference, 6GN 2021, Huizhou, China, October 30--31, 2021, Proceedings}, proceedings_a={6GN}, year={2022}, month={5}, keywords={Finite rate of innovation (FRI) Ultra-wideband Gaussian pulses Non-ideal LPF}, doi={10.1007/978-3-031-04245-4_38} }- Linlin Chen
Guoxing Huang
Chenyiming Wen
Weidang Lu
Yu Zhang
Year: 2022
FRI Sampling for Ultra-wideband Gaussian Pulses Based on Non-ideal LPF
6GN
Springer
DOI: 10.1007/978-3-031-04245-4_38
Abstract
In the field of radar signal processing, the ultra-high sampling frequency has always limited the development of radar technology. Finite rate of innovation (FRI) sampling theory can effectively reduce the sampling frequency of radar pulses in recent years. But the existing radar pulses sampling systems based on FRI have not considered the non-ideal effects caused by non-ideal filters in hardware implement, which affects the accuracy of system reconstruction. In this paper, we proposed a FRI sampling scheme for ultra-wideband gaussian pulses based on non-ideal LPF, which can achieve high-precision reconstruction under non-ideal physical component environment. The proposed system has two identical channels based on non-ideal LPF. The two channels samples the ultra-wideband gaussian pulses and the basis signal with a sub-Nyquist sampling frequency after filtered by non-ideal LPF, then we can obatin Fourier coefficients with non-ideal effects. Then we propose a new estimation algorithm to reconstruct the ultra-wideband gaussian pulses, which can eliminate non-ideal effects and improve the reconstruction performance. Finally, simulation results have verified the effectiveness of the proposed scheme.
