Cost-Reference Particle Filter for Cognitive Radar Tracking Systems with Unknown Statistics

Cost-Reference Particle Filter for Cognitive Radar Tracking Systems with Unknown Statistics

A novel robust particle filtering algorithm is proposed for updating both the waveform and noise parameter for tracking accuracy simultaneously and adaptively. The approach is a significant step for cognitive radar towards more robust tracking in random dynamic systems with unknown statistics. Meanw...

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Bibliographic Details
Main Authors:	Lei Zhong, Yong Li, Wei Cheng, Yi Zheng
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Sensors
Subjects:	cognitive radar particle filter target tracking bayesian bounds nonlinear model
Online Access:	https://www.mdpi.com/1424-8220/20/13/3669

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