BLUE filter with fused range estimation

• Published in: Journal of engineering (Stevenage, England) Vol. 2019; no. 21; pp. 8071 - 8075
• Main Authors: Hu, Sheng, Wen-bo, Zhao, Si-yuan, Tang
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.11.2019; Wiley
• Subjects: adaptive best linear unbiased estimation filter; adaptive BLUE filter; close-range target tracking; converted measurement model; filtering theory; fused range estimation; IET International Radar Conference (IRC 2018); nonlinear filter; predicted measured ranges; predicted range; Rayleigh range measurement; target tracking; weighted estimation; fused range estimation; converted measurement model; nonlinear filter; filtering theory; predicted range; target tracking; close-range target tracking; Rayleigh range measurement; adaptive BLUE filter; adaptive best linear unbiased estimation filter; weighted estimation; predicted measured ranges
• ISSN: 2051-3305; 2051-3305
• DOI: 10.1049/joe.2019.0685

The non-linear filter is subject to divergence for close-range target tracking; an adaptive best linear unbiased estimation (BLUE) filter with fused range estimation is presented. After proposing the notion of predicted range, the weighted estimation of the predicted and measured ranges is used in the converted measurement model to track the target. The adaptive BLUE filtering parameters with Rayleigh range measurement are derived. Simulation results show the adaptive BLUE filter exhibits better robustness and accuracy with modest computational burden.