supported by the National Natural Science Foundation of China(No.61372027,No.61179018)
A Fusion based particle filter track-beforedetect algorithm(FPF-TBD) is proposed for dealing with dim targets, in which the importance density function of the Particle filter(PF) is generated by means of a fusion algo...
In digital communications, the channel af- fects the transmitted sequence with both linear and non- linear distortions. We address the blind detection over time-varying frequency-selective and nonlinear channels in th...
This work is supported by the National Natural Science Foundations of China (No.60972119, No.61170243), and the Technology Innovation Talents of Henan Province (No.114100510001).
The reasonable design of particle filter framework in multi-sensor observation system is the key to expand the application domain of sampling nonlinear filters. Aiming at the effective realization of particle filter f...
This paper addresses the problem of the signal detection and tracking of targets with low signalto-noise ratio, a new track-before-detect method based on extended H∞ particle filter is proposed. The proposed method o...
A particle estimation algorithm where the weight of the particle is related to angle between observa- tion vectors is presented for nonliear system state. When the likelihood has a bimodal nature, this algorithm leads...
A particle filter based Track-before-detect (TBD) algorithm for Over-the-horizon radar (OTHR) target detection and tracking is proposed in this paper. In the TBD algorithm the unthresholded measurements are integr...
Novel Rao-Blackwellised particle filter (RBPF) is presented to implement monocular visionbased mobile robot Simultaneous localization and mapping (SLAM) in indoor environment. The particle filter is combined with ...
A novel scan matching algorithm called Combined probabilistic scan matching (CPSM) in which Rao-Blackwellized particle filters (RBPF) is combined with Probabilistic scan matching (PSM) is proposed for grid based...