Recursive joint Cramér‐Rao lower bound for parametric systems with two‐adjacent‐states dependent measurements
Abstract Joint Cramér‐Rao lower bound (JCRLB) is very useful for the performance evaluation of joint state and parameter estimation (JSPE) of non‐linear systems, in which the current measurement only depends on the current state. However, in reality, the non‐linear systems with two‐adjacent‐states d...
Saved in:
Main Authors: | Xianqing Li, Zhansheng Duan, Uwe D. Hanebeck |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-06-01
|
Series: | IET Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1049/sil2.12025 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Low probability of intercept‐based cooperative node selection and transmit resource allocation for multi‐target tracking in multiple radars architecture
by: Lintao Ding, et al.
Published: (2022-07-01) -
Multiple extended target tracking by truncated JPDA in a clutter environment
by: Qinlei Li, et al.
Published: (2021-05-01) -
On the Recursive Sequence x(n+!) = x(n-14) / [1 + x(n-2) x(n-5) x(n-8) x(n-11)]
by: Dağistan Şimşek, et al.
Published: (2020-12-01) -
Adaptive grid‐driven probability hypothesis density filter for multi‐target tracking
by: Jinlong Yang, et al.
Published: (2021-12-01) -
A Rao-Blackwellized particle filter for joint parameter estimation and biomass tracking in a stochastic predator-prey system
by: Laura Martín-Fernández, et al.
Published: (2013-12-01)