TY - GEN
T1 - IMPROVING THE ACCURACY OF MODEL ORDER ESTIMATION IN MULTIBAND SIGNAL FUSION
AU - Xiong, Di
AU - Wang, Junling
AU - Chen, Zhenhong
AU - Jiang, Yuan
N1 - Publisher Copyright:
© 2020 IET Conference Proceedings. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This paper proposes a method to estimate the model order based on the singular values of a synthetic real matrix. The synthetic data matrix includes the complex observation data and its conjugate data, which fully exploits the existing data information, is more suitable for model order estimation of multiband signal fusion spectrum than the complex observation matrix. Simulation experiments show that this method has better results than the traditional model order estimation methods based on complex observation data matrix, the model order can be estimated at a lower signal to noise ratio (SNR).
AB - This paper proposes a method to estimate the model order based on the singular values of a synthetic real matrix. The synthetic data matrix includes the complex observation data and its conjugate data, which fully exploits the existing data information, is more suitable for model order estimation of multiband signal fusion spectrum than the complex observation matrix. Simulation experiments show that this method has better results than the traditional model order estimation methods based on complex observation data matrix, the model order can be estimated at a lower signal to noise ratio (SNR).
KW - MODEL ORDER ESTIMATION
KW - MULTIBAND FUSION
KW - SINGULAR VALUE DECOMPOSITION
UR - http://www.scopus.com/inward/record.url?scp=85160301231&partnerID=8YFLogxK
U2 - 10.1049/icp.2021.0515
DO - 10.1049/icp.2021.0515
M3 - Conference contribution
AN - SCOPUS:85160301231
VL - 2020
SP - 1707
EP - 1710
BT - IET Conference Proceedings
PB - Institution of Engineering and Technology
T2 - 5th IET International Radar Conference, IET IRC 2020
Y2 - 4 November 2020 through 6 November 2020
ER -