supported in part by the National Science Fund for Excel-lent Young Scholars(No.62222113);in part by the joint Funds of the National Natural Science Foundation of China(No.U22B2015);in part by the stabilization support of National Radar Signal Processing Laboratory(No.KGJ202203);in part by the Fundamental Research Funds for the Central Universities(No.ZDRC2004).
The existing direction-of-arrival(DOA)estimation methods only utilize the current received signals,which are susceptible to noise.In this paper,a method for DOA estimation based on a motion platform is proposed to ach...
supported by the National Natural Science Foundation of China(62031017,61971221);the Fundamental Research Funds for the Central Universities of China(NP2020104)。
Non-uniform linear array(NULA)configurations are well renowned due to their structural ability for providing increased degrees of freedom(DOF)and wider array aperture than uniform linear arrays(ULAs).These characteris...
supported by National Natural Science Foundation of China (Grant No.61901112)。
Direction-of-arrival(DOA)estimation problem is one of the most important tasks for array signal processing.Conventional methods are limited by either the computational complexity or the resolution.In this paper,a nove...
supported in part by Natural Science Foundation of Jiangsu Province(Grant No.BK20201334),Natural Science Foundation of Jiangsu Province(Grant No.BK20200579);National Natural Science Foundation of China(Grant Nos.62071485,62271503,62001513);Basic Research Project of Jiangsu Province(Grant No.BK20192002)。
In this paper,we propose a robust direction-of-arrival(DOA)estimation and tracking scheme for a massive multiple input multiple output(MIMO)orthogonal frequency-division multiplexing(OFDM)system using integrated sensi...
supported in part by the National Natural Science Foundation of China(62201447);the Project Supported by Natural Science Basic Research Plan in Shaanxi Province of China(2022JQ-640)。
Despite some efforts and attempts have been made to improve the direction-of-arrival(DOA)estimation performance of the standard Capon beamformer(SCB)in array processing,rigorous statistical performance analyses of the...
The multiple signal classification method for direction-of-arrival estimation is widely applied in practical scenarios.However,the multiple signal classification method with planar array requires 2-dimensional on-grid...
This work was supported by the National Natural Science Foundation of China under Grants No.61871083 and No.61721001.
The direction-of-arrival(DOA)estimation problem can be solved by the methods based on sparse Bayesian learning(SBL).To assure the accuracy,SBL needs massive amounts of snapshots which may lead to a huge computational ...
supported by the basic research program of Natural Science in Shannxi province of China (2021JQ-369)。
In this paper, an importance sampling maximum likelihood(ISML) estimator for direction-of-arrival(DOA) of incoherently distributed(ID) sources is proposed. Starting from the maximum likelihood estimation description o...
supported by the Program for Innovative Research Groups of the Hunan Provincial Natural Science Foundation of China(No.2019JJ10004)。
State-of-the-art model-driven Direction-Of-Arrival(DOA)estimation methods for multipath signals face great challenges in practical application because of the dependence on the precise multipath model.In this paper,we ...
supported by the Program for Innovative Research Groups of the Hunan Provincial Natural Science Foundation of China(2019JJ10004)。
Higher-order statistics based approaches and signal sparseness based approaches have emerged in recent decades to resolve the underdetermined direction-of-arrival(DOA)estimation problem.These model-based methods face ...