Advanced SPSA-based Algorithm for Multi-Target Tracking in Distributed Sensor Networks

2020 ◽  
Author(s):  
Anna Sergeenko ◽  
Oleg Granichin ◽  
Anton V. Proskurnikov
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Multi Target Tracking

Target Tracking in Sensor Networks Using Additive Divided Difference Information Filtering Method

2013 ◽  
Vol 433-435 ◽  
pp. 503-509
Author(s):  
Deok Jin Lee ◽  
Kil To Chong ◽  
Dong Pyo Hong
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Information Fusion ◽  
Divided Difference ◽  
Information Filtering ◽  
Nonlinear Estimation ◽  
Fusion Algorithm ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Information Filter

This paper represents a new multiple sensor information fusion algorithm in distributed sensor networks using an additive divided difference information filter for nonlinear estimation and tracking applications. The newly proposed multi-sensor fusion algorithm is derived by utilizing an efficient new additive divided difference filtering algorithm with embedding statistical error propagation method into an information filtering architecture. The new additive divided difference information filter achieves not only the accurate nonlinear estimation solution, but also the flexibility of multiple information fusion in distributed sensor networks. Performance comparison of the proposed filter with the nonlinear information filters is demonstrated through a target-tracking application.

Sign in / Sign up

Export Citation Format

Share Document