Posterior Cramer-Rao Lower Bound for Angle-only Filtering in 3D

被引：0
|
作者：
Mallick, Mahendra
Arulampalam, Sanjeev [1 ]
Yan, Yanjun [2 ]
机构：
[1] Dept Def, Def Sci & Technol Grp, Edinburgh, SA, Australia
[2] Western Carolina Univ, Sch Engn & Technol, Cullowhee, NC 28723 USA
来源：
2018 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS) | 2018年
关键词：
Angle-only filtering (AGE) in 3D; modified spherical coordinates (MSC); extended Kalman filter (EKE); unscented Kalman filter (UKF); and posterior Cramer-Rao lower bound (PCRLB);
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In our previous work, we compared the performance of a number of nonlinear filters for the angle-only filtering (AOF) problem in 3D using bearing and elevation measurements from a single maneuvering sensor. These fillers used Cartesian coordinates and modified spherical coordinates for the state vector and were based on discrete-time dynamic and measurement. models. The target followed a nearly constant velocity motion. In this paper, we compute the posterior Cramer-Rao lower bound (PCRLB) for the problem so that the performance of the nonlinear filters can be judged relative to the best possible performance. Results from Monte Carlo simulations show that. as the measurement accuracy decreases, the difference between root mean square position and velocity errors and corresponding PCRLBs increases.
引用
收藏
页码：349 / 354
页数：6
相关论文
共 50 条
  • [31] Closed-form formula of Cramer-Rao lower bound for 3D TOA target localisation
    Li, Yin-Ya
    Wang, Chang-Cheng
    Qi, Guo-Qing
    Sheng, An-Dong
    ELECTRONICS LETTERS, 2020, 56 (01) : 43 - +
  • [32] 3D Cramer-Rao Lower Bound Evaluation for ATSC Signal Based Passive Radar Systems
    Alslaimy, Moayad
    Smith, Graeme E.
    2019 INTERNATIONAL RADAR CONFERENCE (RADAR2019), 2019, : 852 - 855
  • [33] The 3D Complex Damped Exponential Cramer-Rao Estimation Bound and Algorithms
    Pepin, Matthew
    ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XXVI, 2019, 10987
  • [34] Lognormal Mixture Cramer-Rao Lower Bound for Localization
    Buyukcorak, Saliha
    Kurt, Gunes Karabulut
    Yongacoglu, Abbas
    2015 INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2015, : 132 - 136
  • [35] Cramer-Rao lower bound for constrained complex parameters
    Jagannatham, AK
    Rao, BD
    IEEE SIGNAL PROCESSING LETTERS, 2004, 11 (11) : 875 - 878
  • [36] Cramer-Rao Lower Bound for Linear Filtering with t-Distributed Measurement Noise
    Piche, Robert
    2016 19TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2016, : 536 - 540
  • [37] Cramer-Rao lower bound for tracking multiple targets
    Ristic, B
    Farina, A
    Hernandez, M
    IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 2004, 151 (03) : 129 - 134
  • [38] A CRAMER-RAO LOWER-BOUND FOR COMPLEX PARAMETERS
    VANDENBOS, A
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1994, 42 (10) : 2859 - 2859
  • [39] Cramer-Rao lower bound for harmonic and subharmonic estimation
    Chen, Zhili
    Nowrouzian, Behrouz
    Zarowski, Christopher J.
    2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, : 2532 - 2535
  • [40] The Cramer-Rao Lower Bound in the Phase Retrieval Problem
    Balan, Radu
    Bekkerman, David
    2019 13TH INTERNATIONAL CONFERENCE ON SAMPLING THEORY AND APPLICATIONS (SAMPTA), 2019,
12345