Results 11 to 20 of about 118,102 (264)
Direction of arrival (DOA) and time difference of arrival (TDOA) hybrid localisation is an effective localisation technique. Station position errors affect localisation performance.
Linqiang Jiang +4 more
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Intelligence-Aware Batch Processing for TMA with Bearings-Only Measurements
This paper develops a framework to track the trajectory of a target in 2D by considering a moving ownship able to measure bearing measurements. Notably, the framework allows one to incorporate additional information (e.g., obtained via intelligence) such
Gabriele Oliva +2 more
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Gaussian‐like measurement likelihood based particle filter for extended target tracking
Extended target tracking based on the star‐convex model is a multi‐dimensional nonlinear estimation problem. To approximate the shape of an extended target, the star‐convex model requires a higher‐order Fourier series expansion, which will increase the ...
Yiduo Liu, Hongbing Ji, Yongquan Zhang
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Measurement Noise Covariance-Adapting Kalman Filters for Varying Sensor Noise Situations
An accurate and reliable positioning system (PS) is a significant topic of research due to its broad range of aerospace applications, such as the localization of autonomous agents in GPS-denied and indoor environments.
Anirudh Chhabra +2 more
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Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering
In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter is proposed to address bearings-only measurements in multi-target tracking.
Qian Zhang, Taek Lyul Song
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This paper proposes a recursive elimination method for optimal filtering problems of a class of discrete-time nonlinear systems with non-Gaussian noise. By this method, most of the computations to solve an optimal filtering problem can be carried out off-
Tomoyuki Iori, Toshiyuki Ohtsuka
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TMA from Cosines of Conical Angles Acquired by a Towed Array
This paper deals with the estimation of the trajectory of a target in constant velocity motion at an unknown constant depth, from measurements of conical angles supplied by a linear array. Sound emitted by the target does not necessarily navigate along a
Antoine Lebon +3 more
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Information geometry enables a deeper understanding of the methods of statistical inference. In this paper, the problem of nonlinear parameter estimation is considered from a geometric viewpoint using a natural gradient descent on statistical manifolds ...
Yongqiang Cheng, Xuezhi Wang, Bill Moran
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In a nervous system propagation of spikes among neurons can be interpreted as an information transmission process, where, a neural response carries information about the stimulus.
Sedighe Kalatiani, Ghosheh Abed Hodtani
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Novel D-SLP Controller Design for Nonlinear Feedback Control
Novel nonlinear feedback control based on the dragonfly swarm learning process (D-SLP) algorithm is proposed in this paper. This approach improves the performance, stability and robustness of designing the nonlinear system controller. The D-SLP algorithm
Jirapun Pongfai +3 more
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