A Multi-Node Cooperative Bearing-Only Target Passive Tracking Algorithm via UWSNs

Han, Xueyan; Liu, Meiqin; Zhang, Senlin; Zhang, Qunfei

doi:10.1109/jsen.2019.2931885

Cited by 34 publications

(23 citation statements)

References 28 publications

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“…By deploying several passive underwater buoys in an interested sea area to different depth, an uncooperative target can be tracked with full 3D observability if combined angle-only measurements are utilized. Therefore, developing passive tracking techniques which depend on the distributed underwater buoys has attracted attention from various researchers and rich research outcomes have been obtained [ 12 , 13 , 14 ]. Nevertheless, there are also several crucial issues to be further studied.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, the method of balancing the tracking accuracy and the system observability is crucial for the passive distributed underwater buoys system and has great researching significance. Although some researchers have developed the sensor scheduling and control principle for the distributed radar systems [ 16 , 17 , 18 ], the sensor selection and topology design of an underwater distributed tracking system are still open questions that attracted a number of researchers [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

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3D Underwater Uncooperative Target Tracking for a Time-Varying Non-Gaussian Environment by Distributed Passive Underwater Buoys

Hou

Zhou

Yang

et al. 2021

Entropy

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Accurate 3D passive tracking of an underwater uncooperative target is of great significance to make use of the sea resources as well as to ensure the safety of our maritime areas. In this paper, a 3D passive underwater uncooperative target tracking problem for a time-varying non-Gaussian environment is studied. Aiming to overcome the low observability drawback inherent in the passive target tracking problem, a distributed passive underwater buoys observing system is considered and the optimal topology of the distributed measurement system is designed based on the nonlinear system observability analysis theory and the Cramer–Rao lower bound (CRLB) analysis method. Then, considering the unknown underwater environment will lead to time-varying non-Gaussian disturbances for both the target’s dynamics and the measurements, the robust optimal nonlinear estimator, namely the adaptive particle filter (APF), is proposed. Based on the Bayesian posterior probability and Monte Carlo techniques, the proposed algorithm utilizes the real-time optimal estimation technique to calculate the complex noise online and tackle the underwater uncooperative target tracking problem. Finally, the proposed algorithm is tested by simulated data and comprehensive comparisons along with detailed discussions that are made to demonstrate the effectiveness of the proposed APF.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

3D Underwater Uncooperative Target Tracking for a Time-Varying Non-Gaussian Environment by Distributed Passive Underwater Buoys

Hou

Zhou

Yang

et al. 2021

Entropy

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“…[7] presented a distributed approach for exploring and triangulating an unknown region using a multirobot system with bearings-only measurements. [8] and [9] also discussed multiple-observer bearing-only sensing problems. Bearing-only tracking systems using multiple observers are arithmetically convenient.…”

Section: Introductionmentioning

confidence: 99%

An Investigation on Observer Minimum Circumnavigation Velocity for Bearings-Only Target Tracking

Sheng

et al. 2020

IEEE Access

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Circumnavigating and tracking a moving target with bearing measurements by only a single observer is an attractive technology in passive target tracking. Reducing the energy consumption of the observer in circumnavigation tracking is an urgent problem. Therefore, observer minimum circumnavigation velocity is investigated in this work for such circumnavigation tracking systems. First, based on the passive tracking method of the virtual intersecting localization algorithm (VILA) proposed by the authors, the geometric characteristics of the intersection line of sight are analyzed by considering the target-state prediction error and bearing measurement error. Second, based on the normal distribution assumption of states prediction error and bearings measurement error, the observer minimum circumnavigation velocity is deduced for no ill conditions in VILA. Finally, a target moving in a straight line and constant speed turning is selected to simulate the proposed theoretical results with observer velocity below and above the minimum circumnavigation velocity level. The probabilities of ill conditions of VILA are counted, and the simulation results verify the correctness of the proposed theory.

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“…Recently, multi‐ and dual‐station schemes are becoming prevalent because of their ability to overcome the inherent weak observability of single station IRTT. The former can provide satisfactory accuracy but needs elaborate and reliable station collaboration 10‐12 . The latter is relatively simple, however, its performance deteriorates significantly when the target velocity direction is collinear with the station baseline 13 .…”

Section: Introductionmentioning

confidence: 99%

“…The former can provide satisfactory accuracy but needs elaborate and reliable station collaboration. [10][11][12] The latter is relatively simple, however, its performance deteriorates significantly when the target velocity direction is collinear with the station baseline. 13 Therefore, it is crucial to develop methods to overcome both the inherent nonlinearity and weak observability of IRTT.…”

Section: Introductionmentioning

confidence: 99%

Expectation‐maximization‐based infrared target tracking with time‐varying extinction coefficient identification

Liu

Liang

et al. 2020

Adaptive Control & Signal

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Summary Extinction coefficient (EC), as the key parameter of target intensity model, is assumed constant in classical infrared target tracking (IRTT) methods. However, it is a time‐varying and state‐coupled parameter related to complex atmosphere environment. To this end, this article proposes the problem of IRTT with time‐varying EC identification. Different from the constant EC case whose solution is the measurement augmentation, the time‐varying EC case brings out the new challenge: deep coupling between state estimation and parameter identification. In the expectation‐maximization framework, this article derives the joint identification and estimation optimization scheme, where the Taylor expansion variance error of intensity model is also identified to adaptively compensate the nonlinear approximation. Simulation examples show that the proposed scheme has better estimation accuracy than the existing augmented extended Kalman filter.

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A Multi-Node Cooperative Bearing-Only Target Passive Tracking Algorithm via UWSNs

Cited by 34 publications

References 28 publications

3D Underwater Uncooperative Target Tracking for a Time-Varying Non-Gaussian Environment by Distributed Passive Underwater Buoys

3D Underwater Uncooperative Target Tracking for a Time-Varying Non-Gaussian Environment by Distributed Passive Underwater Buoys

An Investigation on Observer Minimum Circumnavigation Velocity for Bearings-Only Target Tracking

Expectation‐maximization‐based infrared target tracking with time‐varying extinction coefficient identification

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