Title :
LFM Radar Signal Processing Based on Multi-model Kalman Filter
Author :
Jianhua, Wang ; Fei, Xie ; Yuncheng, Wang ; Kaihe, Yang
Author_Institution :
Coll. of Automobile Eng., Jilin Univ., Jilin, China
Abstract :
This passage consider the specific LFM structure of millimeter-wave radar and the working environment of the millimeter-wave radar system to solve the problem that how to improve the resolution ratio of millimeter-wave radar and the accuracy of information which get from the radar system. LFM impulse compress technique and parallel Kalman filter is simulated in this passage. According to the result of simulation, LFM impulse compress technique and parallel Kalman filter have great effect on improving resolution ratio of millimeter-wave radar system and the accuracy of the information.
Keywords :
Kalman filters; optical resolving power; radar signal processing; LFM impulse compress technique; LFM radar signal processing; millimeter-wave radar; multi-model Kalman Filter; resolution ratio; Automobiles; Correlation; Data models; Estimation; Kalman filters; Mathematical model; Millimeter wave radar; Siphonic Kalman Filter; millimeter-wave radar; multi-model;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.433
