Multi-shooter localization using finite point process
- Resource Type
- Conference
- Authors
- George, Jemin; Kaplan, Lance M.; Deligeorges, Socrates; Cakiades, George
- Source
- 17th International Conference on Information Fusion (FUSION) Information Fusion (FUSION), 2014 17th International Conference on. :1-7 Jul, 2014
- Subject
- Aerospace
Computing and Processing
General Topics for Engineers
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Clutter
Sensor fusion
Acoustics
Transient analysis
Accuracy
Sensor systems
- Language
A finite point process approach to multi-shooter localization from gunfire events is presented. After modeling the measurements as a Poisson point process, we propose a twofold scheme that includes an expectation maximization algorithm to estimate the target locations for a given number of targets and an information theoretic algorithm to select the number of targets. The proposed localization scheme does not require solving the data association problem and can account for clutter noise as well as missed detections. The optimal subpattern assignment metric is used to assess the performance and accuracy of the proposed localization algorithm. Implementation of the proposed algorithm on experimental data yields desirable results.