Waveform Design for Kalman Filter-Based Target Scattering Coefficient Estimation in Adaptive Radar System

2018 ◽  
Vol 67 (12) ◽  
pp. 11805-11817 ◽  
Author(s):  
Peng Chen ◽  
Chenhao Qi ◽  
Lenan Wu ◽  
Xianbin Wang
Keyword(s):  
Kalman Filter ◽  
Waveform Design ◽  
Radar System ◽  
Scattering Coefficient ◽  
Adaptive Radar ◽  
Coefficient Estimation

scholarly journals Adapitive waveform design for distributed OFDM MIMO radar system in multi-target scenario

2018 ◽  
Vol 31 (3) ◽  
pp. 567-574 ◽  
Author(s):  
Haitao WANG ◽  
Junpeng YU ◽  
Wenzhen YU ◽  
De BEN
Keyword(s):  
Waveform Design ◽  
Mimo Radar ◽  
Radar System

Road Adhesion Coefficient Estimation

2011 ◽  
Vol 52-54 ◽  
pp. 1503-1508
Author(s):  
Yan An Sun ◽  
Lu Xiong ◽  
Zhuo Ping Yu ◽  
Yuan Feng ◽  
Long Jie Ren
Keyword(s):  
Kalman Filter ◽  
Electric Vehicle ◽  
Slip Rate ◽  
Research Subject ◽  
Adhesion Coefficient ◽  
The Real ◽  
Coefficient Estimation ◽  
Improved Algorithm

Taking four in-wheel-motor electric vehicle as research subject, the paper focuses on the estimation of road adhesion coefficient based on curve. Through adding a forget factor, an improved algorithm on the basis of Forget Kalman Filter is proposed to estimate the slope of the curve at low slip rate. This new algorithm is proved effective through the real car test.

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