Title :
Bayesian track-before-detect for multisensor fusion systems
Author :
Xia Shuangzhi ; Liu Hongwei
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Abstract :
The paper applies Bayesian track-before-detect to multisensor fusion systems, which can improve the detection and tracking performance of the fusion systems. In addition, centralized fusion architecture and distributed fusion architecture with corresponding fusion algorithms are proposed.
Keywords :
object detection; sensor fusion; target tracking; Bayesian track-before-detect; centralized fusion architecture; distributed fusion architecture; multisensor fusion systems; Bayesian methods; Probability density function; Radar tracking; Sensor fusion; Target tracking; Bayesian theory; Fusion; Track-before-detect;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159566
