TY - JOUR
T1 - Compressive wideband spectrum sensing and carrier frequency Estimation with unknown mimo channels
AU - Wang, Hongwei
AU - Wang, Jilin
AU - Fang, Jun
AU - Li, Hongbin
N1 - Publisher Copyright:
©2021 IEEE.
PY - 2021
Y1 - 2021
N2 - We consider the problem of joint wideband spectrum sensing and carrier frequency estimation in a sub-Nyquist sampling framework. Specifically, a multi-antenna receiver is used to estimate the carrier frequencies and power spectra of multiple narrowband transmissions that spread over a wide frequency band. Unlike existing works that assume the source signals impinge on the receiver via a line-of-sight (LOS) path, we consider a more practical multiple-input multiple-output (MIMO) channel characterized by multipath propagation. A new sub-Nyquist sampling architecture is proposed, where each antenna output passes through two channels, namely, a direct path and a delayed path with a pre- determined time delay. The signal at each channel is then sampled by a synchronized low-rate analog-to-digital con- verter (ADC).We utilize the collected data samples to build a set of cross-correlation matrices with different time lags and develop a CANDECOMP/PARAFAC (CP) decomposition- based method to recover the carrier frequencies and power spectra of the source signals. Simulation results are presented to illustrate the effectiveness of the proposed method.
AB - We consider the problem of joint wideband spectrum sensing and carrier frequency estimation in a sub-Nyquist sampling framework. Specifically, a multi-antenna receiver is used to estimate the carrier frequencies and power spectra of multiple narrowband transmissions that spread over a wide frequency band. Unlike existing works that assume the source signals impinge on the receiver via a line-of-sight (LOS) path, we consider a more practical multiple-input multiple-output (MIMO) channel characterized by multipath propagation. A new sub-Nyquist sampling architecture is proposed, where each antenna output passes through two channels, namely, a direct path and a delayed path with a pre- determined time delay. The signal at each channel is then sampled by a synchronized low-rate analog-to-digital con- verter (ADC).We utilize the collected data samples to build a set of cross-correlation matrices with different time lags and develop a CANDECOMP/PARAFAC (CP) decomposition- based method to recover the carrier frequencies and power spectra of the source signals. Simulation results are presented to illustrate the effectiveness of the proposed method.
KW - Carrier fre- quency estimation
KW - Cp decomposition
KW - Sub-nyquist sampling
KW - Wideband spectrum sensing
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U2 - 10.1109/ICASSP39728.2021.9413839
DO - 10.1109/ICASSP39728.2021.9413839
M3 - Conference article
AN - SCOPUS:85115192075
SN - 1520-6149
VL - 2021-June
SP - 8448
EP - 8452
JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
T2 - 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
Y2 - 6 June 2021 through 11 June 2021
ER -