TY - GEN
T1 - Low-complexity Implementation Method for GLRT Detector for Rank-one Signal in Cognitive Radio
AU - Tan, Yuhao
AU - Xiong, Yupeng
AU - Tian, Chong
AU - Lei, Kejun
AU - Pan, Xiaoping
AU - Yang, Xi
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The generalized likelihood ratio test (GLRT) detector has excellent performance in detecting rank-one signal. However, the high computational complexity hinders its further application. To this end, a low-complexity implementation method based on the numerical analysis theory for the detector is proposed. Our method uses the accelerated power method based on Rayleigh quotient to iteratively compute the maximum eigenvalue, which has a faster convergence rate in detecting high-dimensional signals compared with the traditional power method; meanwhile, a direct threshold calculation method based on the cubic spline interpolation theory is proposed, which can quickly determine the threshold corresponding to any given target false-alarm probability. Our method effectively improves the computational efficiency and reduces the implementation complexity of the GLRT detector for rank-one signal. Finally, the simulation results demonstrate the effectiveness of the proposed method.
AB - The generalized likelihood ratio test (GLRT) detector has excellent performance in detecting rank-one signal. However, the high computational complexity hinders its further application. To this end, a low-complexity implementation method based on the numerical analysis theory for the detector is proposed. Our method uses the accelerated power method based on Rayleigh quotient to iteratively compute the maximum eigenvalue, which has a faster convergence rate in detecting high-dimensional signals compared with the traditional power method; meanwhile, a direct threshold calculation method based on the cubic spline interpolation theory is proposed, which can quickly determine the threshold corresponding to any given target false-alarm probability. Our method effectively improves the computational efficiency and reduces the implementation complexity of the GLRT detector for rank-one signal. Finally, the simulation results demonstrate the effectiveness of the proposed method.
KW - GLRT detector for rank-one signal
KW - cognitive radio
KW - cubic spline interpolation
KW - rayleigh quotient accelerated power method
KW - spectrum sensing
UR - https://www.scopus.com/pages/publications/85193005391
U2 - 10.1109/ICCC59590.2023.10507261
DO - 10.1109/ICCC59590.2023.10507261
M3 - 会议稿件
AN - SCOPUS:85193005391
T3 - 2023 9th International Conference on Computer and Communications, ICCC 2023
SP - 1457
EP - 1462
BT - 2023 9th International Conference on Computer and Communications, ICCC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Conference on Computer and Communications, ICCC 2023
Y2 - 8 December 2023 through 11 December 2023
ER -