Array Antenna Assisted Doppler Spread Compensator with Vehicle Speed Estimator for OFDM Receiver

2004 ◽  
pp. 299-306
Author(s):  
N. Nagai ◽  
M. Okada ◽  
M. Saito ◽  
H. Yamamoto
2021 ◽  
Vol 11 (6) ◽  
pp. 2809
Author(s):  
Dongmin Zhang ◽  
Qiang Song ◽  
Guanfeng Wang ◽  
Chonghao Liu

This article proposes a novel longitudinal vehicle speed estimator for snowy roads in extreme conditions (four-wheel slip) based on low-cost wheel speed encoders and a longitudinal acceleration sensor. The tire rotation factor, η, is introduced to reduce the deviation between the rotation tire radius and the manufacturer’s marked tire radius. The Local Vehicle Speed Estimator is defined to eliminate longitudinal vehicle speed estimation error. It improves the tire slip accuracy of four-wheel slip, even with a high slip rate. The final vehicle speed is estimated using two fuzzy control strategies that use vehicle speed estimates from speed encoders and a longitudinal acceleration sensor. Experimental and simulation results confirm the algorithm’s validity for estimating longitudinal vehicle speed for four-wheel slip in snowy road conditions.


Author(s):  
Minoru Okada ◽  
Hideaki Takayanagi ◽  
Heiichi Yamamoto
Keyword(s):  

Author(s):  
Kyeung Heub Oh ◽  
Jin Kwon Hwang ◽  
Chul Ki Song

The absolute longitudinal speed of a vehicle is estimated by using data from an accelerometer of the vehicle and wheel speed sensors of a standard 50-tooth antilock braking system. An intuitive solution to this problem is, “When wheel slip is low, calculate the vehicle velocity from the wheel speeds; when wheel slip is high, calculate the vehicle speed by integrating signal of the accelerometer.” The speed estimator weighted with fuzzy logic is introduced to implement the above concept, which is formulated as an estimation method. And the method is improved through experiments by how to calculate speed from acceleration signal and slip ratios. It is verified experimentally to usefulness o estimation speed of a vehicle. And the experimental result shows that the estimated vehicle longitudinal speed has only a 6 % worst-case error during a hard braking maneuver lasting a few seconds.


2007 ◽  
Vol E90-B (5) ◽  
pp. 1214-1221
Author(s):  
Y.-C. YU ◽  
M. OKADA ◽  
H. YAMAMOTO
Keyword(s):  

2002 ◽  
Vol 13 (5) ◽  
pp. 507-512 ◽  
Author(s):  
Minoru Okada ◽  
Hideaki Takayanagi ◽  
Heiichi Yamamoto
Keyword(s):  

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