首页|Uncertainty zone estimation of angles only tracking in undersea environment

Uncertainty zone estimation of angles only tracking in undersea environment

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© 2022Traditional underwater tracking is a method of estimating the state of a target based on measurements obtained from sensors. Observer uses measurements that are created by the radiation of the target for passive underwater target surveillance. A procedure for estimating the location of a target emitting acoustic signal is introduced. The issue is addressed in cases of known and unknown emitter location determination errors. Zones of uncertainty have been classified as error ellipses and confidence ellipses. Noise continuously corrupts the measurements, resulting a target position uncertainty zone. To improve the accuracy, to find uncertainty zone of target use bearing and elevation. Shifted Rayleigh Filter (SHRF) is a non-linear estimator that is effective for estimating the motion parameters of the target. It is important to know about the convergence of the solution in terms of the reduction of the uncertainty zone under a certain constraint in realistic situations. Utilizing the covariance matrix of SHRF in Monte-Carlo simulation, an attempt is made to reduce and discover the target's 3-dimensional range uncertainty ellipse zone (3DRUEZ). The solution is said to be converged when the 3DRUEZ is less than a certain threshold. In underwater surroundings, the simulation demonstrates that the proposed technique in this paper shows enhanced estimation accuracy and more stable performance than other filtering algorithms.

3-dimensional target trackingProbability theoryShifted Rayleigh filterStatistical signal processingTarget tracking

Subrahmanyam K.、Rao S.K.、Lakshmi K.

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Department of Computer Science Engineering

Department of Electronics and Communication Engineering Koneru Lakshmaiah Education Foundation

2022

10.1016/j.ijleo.2022.169144

Optik

Optik

EISCI
ISSN：0030-4026
年,卷(期)：2022.262
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