TY - GEN
T1 - A finite rate of innovation multichannel sampling hardware system for multi-pulse signals
AU - Fu, Ning
AU - Sun, Liwen
AU - Huang, Guoxing
AU - Du, Shuaile
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/16
Y1 - 2017/6/16
N2 - Multi-pulse signals are composed of finite pulse streams of arbitrary pulse shape. With the pulse shape known, a multichannel sampling scheme for multi-pulse signals can operate at the rate of innovation, which is much lower than the Nyquist rate. The sampling system is based on low-pass filters, oscillators and integrators. By now there is no hardware to practice the approach. In this paper, we design a hardware system and discover that the non-idealities of low-pass filters will lead to failing in signal reconstruction. We research how the low-pass filters affect the reconstruction and solve the problem by channel calibration. The experiments show that channel calibration compensates most of the errors induced by low-pass filters, and this approach can achieve better estimation of time-delays and amplitudes of multi-pulse signals with a known pulse shape.
AB - Multi-pulse signals are composed of finite pulse streams of arbitrary pulse shape. With the pulse shape known, a multichannel sampling scheme for multi-pulse signals can operate at the rate of innovation, which is much lower than the Nyquist rate. The sampling system is based on low-pass filters, oscillators and integrators. By now there is no hardware to practice the approach. In this paper, we design a hardware system and discover that the non-idealities of low-pass filters will lead to failing in signal reconstruction. We research how the low-pass filters affect the reconstruction and solve the problem by channel calibration. The experiments show that channel calibration compensates most of the errors induced by low-pass filters, and this approach can achieve better estimation of time-delays and amplitudes of multi-pulse signals with a known pulse shape.
KW - Finite rate of innovation
KW - hardware system
KW - multi-pulse reconstruction
KW - sub-Nyquist sampling
UR - https://www.scopus.com/pages/publications/85023764584
U2 - 10.1109/ICASSP.2017.7953022
DO - 10.1109/ICASSP.2017.7953022
M3 - 会议稿件
AN - SCOPUS:85023764584
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4571
EP - 4575
BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Y2 - 5 March 2017 through 9 March 2017
ER -