报告题目：A Novel Algorithm for Quantized Particle Filtering with Multiple Degrading Sensors: Degradation Estimation and Target Tracking

报告简介：In this talk, we are concerned with the particle filtering problem for a class of nonlinear/non-Gaussian systems with quantized measurements and multiple degrading sensors. A degradation variable described by the Wiener process is proposed to describe the phenomenon of sensor degradation that is often encountered in engineering practice. The measurement output of each sensor is quantized by a uniform quantizer before being sent to the remote filter. An augmented system is constructed which aggregates the original system state and the degradation variables. In the presence of the sensor degradation and the quantization errors, a new likelihood function at the remote filter is calculated by resorting to all the transmitted measurements. According to the mathematical characterization of the likelihood function, a novel particle filtering algorithm is developed where the parameters of both the degradation processes and the quantization functions are exploited to obtain the modified importance weights.

报告人：刘洋, 英国拉夫堡大学（Loughborough University）, 研究员。主要从事系统安全、复杂网络以及随机系统方面的研究。

报告时间：2022年8月19日（星期五）下午5:30

报告地点：腾讯会议，ID：673-680-488

主办单位：扬州大学数学科学学院

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