Centralized Multi-Sensor Square Root Cubature Joint Probabilistic Data Association
This paper focuses on the tracking problem of multiple targets with multiple sensors in a nonlinear cluttered environment. To avoid Jacobian matrix computation and scaling parameter adjustment, improve numerical stability, and acquire more accurate estimated results for centralized nonlinear trackin...
主要な著者: | Yu Liu, Jun Liu, Gang Li, Lin Qi, Yaowen Li, You He |
---|---|
フォーマット: | 論文 |
言語: | English |
出版事項: |
MDPI AG
2017-11-01
|
シリーズ: | Sensors |
主題: | |
オンライン・アクセス: | https://www.mdpi.com/1424-8220/17/11/2546 |
類似資料
-
The Square-Root Unscented and the Square-Root Cubature Kalman Filters on Manifolds
著者:: Joachim Clemens, 等
出版事項: (2024-10-01) -
An Adaptive Cubature Kalman Filter for Target Tracking
著者:: R. Havangi
出版事項: (2022-07-01) -
Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements
著者:: Samer Sahl, 等
出版事項: (2024-01-01) -
Double-Layer Cubature Kalman Filter for Nonlinear Estimation
著者:: Feng Yang, 等
出版事項: (2019-02-01) -
Cubature Ensemble Kalman Filter for Highly Dimensional Strongly Nonlinear Systems
著者:: Qingwen Meng, 等
出版事項: (2020-01-01)