supported by the National Natural Science Foundation of China(62101014);the National Key Laboratory of Science and Technology on Space Microwave(6142411203307).
Global Navigation Satellite System(GNSS)-based passive radar(GBPR)has been widely used in remote sensing applications.However,for moving target detection(MTD),the quadratic phase error(QPE)introduced by the non-cooper...
supported by the Natural Science Foundation of Anhui Province(1708085QF149)。
It is a tough problem to jointly detect and track a weak target, and it becomes even more challenging when the target is maneuvering. The above problem is formulated by using the Bayesian theory and a multiple model(M...
supported by the National High-tech R&D Program of China(2015AA7056045;2015AA8017032P);the National Natural Science Foundation of China(61401504)
The particle filter(PF) algorithm is one of the most commonly used algorithms for maneuvering target tracking. The traditional PF maps from multi-dimensional information to onedimensional information during particle...
supported by the National Natural Science Foundation of China(61473227;11472222);the Fundamental Research Funds for the Central Universities(3102015ZY001);the Aerospace Technology Support Fund of China(2014-HT-XGD);the Natural Science Foundation of Shaanxi Province(2015JM6304);the Aeronautical Science Foundation of China(20151353018)
This paper is concerned with the recursive filtering problem for a class of discrete-time nonlinear stochastic systems in the presence of multi-sensor measurement delay. The delay occurs in a multi-step and asynchrono...
supported by the National Natural Science Foundation of China(61304097);the Projects of Major International(Regional)Joint Research Program NSFC(61120106010);the Foundation for Innovation Research Groups of the National National Natural Science Foundation of China(61321002)
A hierarchical particle filter(HPF) framework based on multi-feature fusion is proposed.The proposed HPF effectively uses different feature information to avoid the tracking failure based on the single feature in a ...
supported by the National Natural Science Foundation of China(61273275;61402517;61573375);the Open Research Fund of State Key Laboratory of Astronautic Dynamics(2012ADL-DW0202);the Natural Science Foundation of Shaanxi Province of China(2013JQ8035);the China Postdoctoral Science Foundation(2013M542331)
The particle filter (PF) is a flexible and powerful sequen- tial Monte Carlo (SMC) technique capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. However, the generic PF suffers from p...
supported by the Fundamental Research Funds for the Central Universities(NJ20140010);the Scientific Research Start-up Funding from Jiangsu University of Science and Technology;the Scienceand Technology on Electronic Information Control Laboratory Project;the Priority Academic Program Development of Jiangsu Higher Education Institutions
Sensor platforms with active sensing equipment such as radar may betray their existence, by emitting energy that will be intercepted by enemy surveillance sensors. The radar with less emission has more excellent perfo...
supported by the Academy Innovation Fund Project (2013QNCX0101)
Doppler blind zone (DBZ) has a bad influence on the airborne early warning radar, although it has good detection performance for low altitude targets with pulse Doppler (PD) technology. In target tracking, the bli...
supported by the National Natural Science Foundation of China(61271296)
Particle filters have been widely used in nonlinear/non- Gaussian Bayesian state estimation problems. However, efficient distribution of the limited number of particles (n state space remains a critical issue in desi...
supported by the Chinese Ministry of Science and Intergovernmental Cooperation Project (2009DFA12870);the National Science Foundation of China (60974062,60972119)
This paper proposes a particle swarm optimization(PSO) based particle filter(PF) tracking framework,the embedded PSO makes particles move toward the high likelihood area to find the optimal position in the state t...