Array steering vector; Channel modelling; Crame Rao bounds; Directionof-arrival (DOA); Joint source; Line-of-sight channels; Near fields; Range estimation; Signal models; Size parameters; Signal Processing; Computer Networks and Communications
Abstract :
[en] A diffraction-based channel model is developed for characterizing the line-of-sight channel where the receive array is partially blocked by near-field obstacles. An analytic receive signal model is established where the range and size parameters of the blockage are explicitly modeled in the array steering vector. Based on the proposed model, we consider the joint estimation of the direction of arrivals (DoAs) of impinging RF signals and the parameters of interest for the blockage. General analytical expressions are derived for the Cramér-Rao bounds (CRBs) of both the source-dependent parameters and environmental (common) parameters using both deterministic and stochastic maximum likelihood models. Finally, a Newton's method-based approach is developed to optimize the maximum likelihood criterion to obtain estimates of the DoAs and blockage range of the sensing problem. Numerical results reveal that the maximum likelihood estimates for the DoAs and the blockage range attain the CRB for the stochastic model.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Xu, Jiaqi; University of California, Center for Pervasive Communications and Computing, Irvine, United States
OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PI Ottersten
Swindlehurst, A. Lee; University of California, Center for Pervasive Communications and Computing, Irvine, United States
External co-authors :
yes
Language :
English
Title :
Partially-Blocked Near-Field Sensing: Joint Source DoA and Blockage Range Estimation
Publication date :
2024
Event name :
2024 58th Asilomar Conference on Signals, Systems, and Computers
Event place :
Hybrid, Pacific Grove, Usa
Event date :
27-10-2024 => 30-10-2024
Main work title :
Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024
This work was supported by the U.S. National Science Foundation under grants CCF-2225575, Grant CCF-2322191, and in part, by the Luxembourg National Research Fund (FNR), grant reference INTER/MOBILITY/2023/IS/18014377/MCR.
Y. Han, S. Jin, M. Matthaiou, T. Q. S. Quek, and C.-K. Wen, "Toward extra large-scale MIMO: New channel properties and low-cost designs, " IEEE Internet Things J., vol. 10, no. 16, pp. 14 569-14 594, 2023.
E. De Carvalho, A. Ali, A. Amiri, M. Angjelichinoski, and R. W. Heath, "Non-stationarities in extra-large-scale massive MIMO, " IEEE Wireless Commun., vol. 27, no. 4, pp. 74-80, Aug. 2020.
P. Stoica and A. Nehorai, "Music, maximum likelihood, and Cramer-Rao bound, " IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37, no. 5, pp. 720-741, 1989.
-, "Performance study of conditional and unconditional direction-ofarrival estimation, " IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 38, no. 10, pp. 1783-1795, 1990.
M. Born and E. Wolf, Principles of optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light. Elsevier, 2013.
R. E. Sheriff, "Understanding the Fresnel zone, " AAPG Explorer, pp. 18-19, 1996.
