水下被动方位目标跟踪的正交滤波器

2015 Sensor Signal Processing for Defence (SSPD) Pub Date : 2015-09-01 DOI:10.1109/SSPD.2015.7288519

R. Radhakrishnan, Abhinoy Kumar Singh, S. Bhaumik, Nutan Kumar Tomar

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引用次数: 16

摘要

利用三维卡尔曼滤波(CKF)、高斯-埃尔米特滤波(GHF)和稀疏网格高斯-埃尔米特滤波(SGHF)三种非线性滤波器解决了典型的水下无源目标跟踪问题。从估计精度、迹损计数和计算时间三个方面比较了滤波器的性能。理论Cramer-Rao下界(CRLB)用于确定可实现的最大性能并比较所使用的各种滤波器的误差范围。

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Quadrature Filters for Underwater Passive Bearings-Only Target Tracking

A typical underwater passive bearings-only target tracking problem is solved using nonlinear filters namely cubature Kalman filter (CKF), Gauss-Hermite filter (GHF) and sparse-grid Gauss-Hermite filter (SGHF). The performance of the filters is compared in terms of estimation accuracy, track-loss count and computational time. Theoretical Cramer-Rao lower bound (CRLB) is used to determine the maximum achievable performance and to compare the error bounds of various filters used.

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来源期刊

2015 Sensor Signal Processing for Defence (SSPD)

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