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A New Pseudolinear Filter for Bearings-Only Tracking without Requirement of Bias Compensation
2021
Sensors
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The pseudolinear state-space model of bearings-only tracking is first developed. The correlation between the pseudomeasurement matrix and pseudolinear noise is thoroughly analyzed. ...
In bearings-only tracking systems, the pseudolinear Kalman filter (PLKF) has advantages in stability and computational complexity, but suffers from correlation problems. ...
The New Pseudolinear Filter In this section, we propose a new pseudolinear filter under the MMSE framework for bearings-only target tracking, which is referred as the pseudolinear-MMSE (PL-MMSE). ...
doi:10.3390/s21165444
pmid:34450886
pmcid:PMC8399602
fatcat:ejtkdpvpq5czvpk4n6twrilwle
Target Localization and Sensor Movement Trajectory Planning with Bearing-Only Measurements in Three Dimensional Space
2022
Applied Sciences
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Compared with traditional methods, the bias compensation method estimates the unknown variance of bearing noise consistently, which is utilized in pseudo-linear target localization to achieve higher precision ...
In order to improve the accuracy of bearing-only localization in three dimensional (3D) space, this paper proposes a novel bias compensation method and a new single-sensor maneuvering trajectory algorithm ...
Acknowledgments: The authors are also grateful to Professor Erwei Bai in the university of Iowa for shedding light on some initial research in this paper. ...
doi:10.3390/app12136739
fatcat:c4a6qsghsffqnfgnxdpad4cvhy
Bearing only Target Tracking using Single and Multisensor: A Review
2019
Journal of Engineering Science and Technology Review
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The brief review of methods used for estimating the target state in single and multi-sensor bearing only tracking (BOT) is presented in this paper. ...
It deals with the target state estimation using bearing only measurements. BOT is difficult because of its poor observability in target state and nonlinearity in measurements. ...
The authors have proposed a method to model the bearing only offset bias and the maximum likelihood estimators are used to estimate the biases. ...
doi:10.25103/jestr.121.07
fatcat:kt7frpjjj5gqbfxyxchg2r7pqi
Bias Compensation for AOA-Geolocation of Known Altitude Target Using Single Satellite
2019
IEEE Access
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To reduce the passive localization bias caused by the nonlinearity between the target position and measurements under high noise level and poor geometry conditions, the bias compensation method for known ...
The basic idea of this method is to estimate the bias first, and then subtract it from the estimation of the target position. ...
Reference [20] developed a reduced-bias pseudolinear estimator for bias compensation in bearings-only geolocation. ...
doi:10.1109/access.2019.2912864
fatcat:sbf37cdpwjgytfsup5fmh44p4y
A nonlinear tracking algorithm with range-rate measurements based on unbiased measurement conversion
[article]
2014
arXiv
pre-print
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The three-dimensional CMKF-U with only position measurements is extended to solve the nonlinear tracking problem with range-rate measurements in this paper. ...
A pseudo measurement is constructed by the product of range and range-rate measurements to reduce the high nonlinearity of the range-rate measurements with respect to the target state; then the mean and ...
z N ψ − = = ∑ (16) where, i z denotes the vector of converted measurement errors in realization i , compensated for the hypothesized bias, zz P is the hypothesized covariance of the errors, and N denotes ...
arXiv:1412.5524v1
fatcat:rxei54qhkzgvdnd3m4oq2h64cu
Optimal 3D Angle of Arrival Sensor Placement with Gaussian Priors
2021
Entropy
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and 6, while the estimation bias remains very close to zero (smaller than 0.15 m). ...
Based on this finding, an optimal sensor placement method using 3D rotation was created for when prior information exists as to the target location. ...
Many estimators have been developed for AOA-based localization. A 3D one-step pseudolinear estimator (PLE) with a bias compensation strategy was proposed in [10] . ...
doi:10.3390/e23111379
pmid:34828076
pmcid:PMC8623848
fatcat:dxzc74rvqbafxa5ynv6mfelg7y
Novel passive localization algorithm based on double side matrix-restricted total least squares
2013
Chinese Journal of Aeronautics
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In order to solve the bearings-only passive localization problem in the presence of erroneous observer position, a novel algorithm based on double side matrix-restricted total least squares (DSMRTLS) is ...
First, the aforementioned passive localization problem is transferred to the DSMRTLS problem by deriving a multiplicative structure for both the observation matrix and the observation vector. ...
Acknowledgements The authors would like to thank the anonymous reviewers for their critical and constructive review of the manuscript. ...
doi:10.1016/j.cja.2013.06.009
fatcat:aa5rmdzaezdbpaz6dk4uw7kr6q
Intelligence-Aware Batch Processing for TMA with Bearings-Only Measurements
2021
Sensors
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This paper develops a framework to track the trajectory of a target in 2D by considering a moving ownship able to measure bearing measurements. ...
The approach is formally characterized by providing a constrained maximum likelihood estimation (MLE) formulation and by extending the definition of the Cramér–Rao lower bound (CRLB) matrix to the case ...
Acknowledgments: The authors would like to express their sincere gratitude for the useful comments and suggestions by the guest editors and the anonymous reviewers during the review process. ...
doi:10.3390/s21217211
pmid:34770519
pmcid:PMC8587890
fatcat:lfkfqjjagfcarmjmb2jejdrwfe
Linear Robust Target Tracking Filter Using the Range Differences Measured By Formation Flying Multiple UAVs
다중 UAV에서 측정된 거리차 정보를 이용한 선형 강인 표적추적 필터 설계
2012
The Transactions of The Korean Institute of Electrical Engineers
다중 UAV에서 측정된 거리차 정보를 이용한 선형 강인 표적추적 필터 설계
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In order to solve the range difference based passive target tracking problem within the framework of linear robust state estimation, the uncertain linear measurement model which contains the stochastic ...
For the cruciform formation flying UAVs, the relationship between the target tracking performance and the measurement errors is quantitatively analyzed. ...
Bullock, "A stochastic perturbation analysis of bias in the extended Kalman filter as applied to bearing-only estimation," IEEE Conf.Decision and Contr., pp. 3778-3783, 1992. [11] K. ...
doi:10.5370/kiee.2012.61.2.284
fatcat:ijfbfuuhfba5dp5emtgohatqly
Decentralized Geolocation and Bias Estimation for Uninhabited Aerial Vehicles with Articulating Cameras
2011
Journal of Guidance Control and Dynamics
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., “Bias Compensation for Bearings-Only Pseudolinear Target Track Estimator,” JEEE Transactions on Signal Processing, Vol. 54, No. 1, Jan. 2006, pp. 59-68.
doi:10.1109/TSP.2005.861088
Durrant-Whyte, H. ...
Campbell and Wheeler [7] compensate for these biases with an additional algorithm that fuses a conservative uniform density model for the bias. ...
doi:10.2514/1.49059
fatcat:7ihdti43gjc5ze37vmo75bd2yi
Gaussian Target Tracking With Direction-of-Arrival von Mises–Fisher Measurements
2019
IEEE Transactions on Signal Processing
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UKF (AUKF), and the filters described in [20] : the pseudolinear KF (PLKF), the bias compensated pseudolinear KF (BC-PLKF), and instrumental variable-based KF (IVKF). ...
The scenario in Section VI-A considers 2-D target tracking with bearings only measurements. The scenario in Section VI-B considers 2-D target tracking with range-bearings measurements. ...
doi:10.1109/tsp.2019.2911258
fatcat:upd2bno2uffq3k4fg3wfnbo3cu
2020 Index IEEE Transactions on Signal Processing Vol. 68
2020
IEEE Transactions on Signal Processing
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., One-Step Prediction for Discrete Time-Varying Nonlinear Systems With Unknown Inputs and Correlated Noises; TSP ...
Hsue, W., TSP 2020 1776-1791 Target tracking A Closed-Form Estimator for Bearings-Only Fusion of Heterogeneous Passive Sensors. ...
., +, TSP 2020 3644-3659 Machine bearings A Closed-Form Estimator for Bearings-Only Fusion of Heterogeneous Passive Sensors. ...
doi:10.1109/tsp.2021.3055469
fatcat:6uswtuxm5ba6zahdwh5atxhcsy
Table of Contents
2020
IEEE Transactions on Signal Processing
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Vallet 4656 An Algebraic Closed-Form Solution for Bearings-Only Maneuvering Target Motion Analysis From a Nonmaneuvering Platform .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Eldar 4627 Diffusion Average-Estimate Bias-Compensated LMS Algorithms Over Adaptive Networks Using Noisy Measurements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tsp.2020.3042287
fatcat:nh7viihaozhd7li3txtadnx5ui
Page 573 of Journal of Guidance, Control, and Dynamics Vol. 34, Issue 2
[page]
Journal of Guidance, Control, and Dynamics
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., “Bias Compensation for Bearings-Only Pseudolinear Target Track Estimator,” JEEE Transactions on Signal Processing, Vol. 54, No. 1, Jan. 2006, pp. 59-68.
doi:10.1109/TSP.2005.861088
Durrant-Whyte, H. ...
., “Mobile Radar Bias Estimation Using Unknown Location Targets,” /nternational Conference on Information Fusion, Vol. 1, Paris, July 2000. ...
2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70
2021
IEEE Transactions on Instrumentation and Measurement
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Note that the item title is found only under the primary entry in the Author Index. ...
The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TIM 2021 2005912 A Recursive Estimator for Pseudolinear Target Motion Analysis Using Mul-tiple Hybrid Sensors. ...
doi:10.1109/tim.2022.3156705
fatcat:dmqderzenrcopoyipv3v4vh4ry
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