Title : 
Subthreshold detection and tracking of a small maneuvering target
         
        
            Author : 
Koshelev, V.I. ; Belokurov, V.A.
         
        
            Author_Institution : 
Fed. State Educ. Instn. of Higher Educ. “Ryazan State Radio Eng. Univ.”, Ryazan, Russia
         
        
        
        
        
        
            Abstract : 
The present paper concerns the feasibility of applying a combination of Gaussian particle filter and an interactive multimode filter for mutual detection and tracking of a small maneuvering target. We propose using two models: one with a constant velocity, another with a constant acceleration. Filters, corresponding to each of those models, employ Gaussian particle filter. Numerical modeling results demonstrate that the proposed algorithm is capable of detecting a maneuvering target at low signal-to-noise ratio.
         
        
            Keywords : 
object detection; particle filtering (numerical methods); target tracking; Gaussian particle filter; constant acceleration; constant velocity; interactive multimode filter; mutual detection; mutual tracking; numerical modeling; signal-to-noise ratio; small maneuvering target; subthreshold detection; subthreshold tracking;
         
        
        
        
            Conference_Titel : 
Microwave & Telecommunication Technology (CriMiCo), 2014 24th International Crimean Conference
         
        
            Conference_Location : 
Sevastopol
         
        
            Print_ISBN : 
978-966-335-412-5
         
        
        
            DOI : 
10.1109/CRMICO.2014.6959794