A Comparison of Error Bounds for a Nonlinear Tracking System with Detection Probability Pd < 1

A Comparison of Error Bounds for a Nonlinear Tracking System with Detection Probability Pd < 1

Error bounds for nonlinear filtering are very important for performance evaluation and sensor management. This paper presents a comparative study of three error bounds for tracking filtering, when the detection probability is less than unity. One of these bounds is the random finite set (RFS) bound,...

Full description

Bibliographic Details
Main Authors: Xiqin Wang, Huisi Tong, Huadong Meng, Hao Zhang
Format: Article
Language:English
Published: MDPI AG 2012-12-01
Series:Sensors
Subjects:
posterior Cramer-Rao lower bound (PCRLB)
detection probability
target state estimation
random finite set (RFS)
information reduction factor (IRF)
Online Access:http://www.mdpi.com/1424-8220/12/12/17390

Internet

http://www.mdpi.com/1424-8220/12/12/17390

Similar Items