TY - GEN
T1 - A CCM-BASED JOINT DOA-FREQUENCY ESTIMATION AND SIGNAL RECOVERY WITH EFFICIENT SUB-NYQUIST SAMPLING
AU - Liu, Liang
AU - Li, Zhouchen
AU - An, Jiancheng
AU - Gan, Lu
AU - Li, Hongbin
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper addresses key challenges caused by high sampling rates in wideband joint spectrum sensing applications. A joint Direction of Arrival (DOA) and frequency estimation algorithm is proposed by utilizing the Cross-Covariance Matrix (CCM) constructed from the outputs of an efficient undersampling array receiver with multiple elements, only one of which is connected with multiple time-delay branches. In contrast to previous autocorrelation-based methods, the proposed method reduces the impact of noise and doubles the maximum unit time-delay, resulting in improved estimation performance. Additionally, it does not impose restrictions on the number of array sensors and time-delay channels, which allows for more flexibility in the allocation of resources for the receiver. In the simulation, the proposed algorithm demonstrates outstanding performance.
AB - This paper addresses key challenges caused by high sampling rates in wideband joint spectrum sensing applications. A joint Direction of Arrival (DOA) and frequency estimation algorithm is proposed by utilizing the Cross-Covariance Matrix (CCM) constructed from the outputs of an efficient undersampling array receiver with multiple elements, only one of which is connected with multiple time-delay branches. In contrast to previous autocorrelation-based methods, the proposed method reduces the impact of noise and doubles the maximum unit time-delay, resulting in improved estimation performance. Additionally, it does not impose restrictions on the number of array sensors and time-delay channels, which allows for more flexibility in the allocation of resources for the receiver. In the simulation, the proposed algorithm demonstrates outstanding performance.
KW - cross-covariance matrix (CCM)
KW - DOA estimation
KW - frequency estimation
KW - sub-Nyquist sampling
UR - http://www.scopus.com/inward/record.url?scp=85195406795&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85195406795&partnerID=8YFLogxK
U2 - 10.1109/ICASSP48485.2024.10447152
DO - 10.1109/ICASSP48485.2024.10447152
M3 - Conference contribution
AN - SCOPUS:85195406795
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 8501
EP - 8505
BT - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
T2 - 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
Y2 - 14 April 2024 through 19 April 2024
ER -