Title :
Research of Velocity Detection Based on the Adaptive Weighted Average Algorithm
Author :
Cao Jie ; Wei, Cao Jie Xu
Author_Institution :
Coll. of Comput. & Commun., Lanzhou Univ. of Technol., Lanzhou
Abstract :
In recent years, the weighted average algorithm is discussed more and more. In order to maximize the Signal Noise Ratio (SNR) and minimize the variance of the signals, the weights are utilized. In this thesis, a traffic velocity detection of adaptive weighted-average is presented, in which, a reasonable result with enough precision could be got. Compared with other weighted average method, a large storage of data does not demanded in the adaptive weighted average algorithm. The simulation result is given too, which shows that the fitting curves of actual velocity and fused velocity is good enough to satisfy the actual demand of real-time completely.
Keywords :
least mean squares methods; minimisation; road traffic; sensor fusion; signal detection; adaptive weighted average algorithm; minimum square error method; multisensor information fusion algorithm; traffic velocity detection; Communication system control; Data processing; Detectors; Intelligent transportation systems; Sensor fusion; Signal detection; Signal to noise ratio; Vehicle detection; Vehicles; Velocity control; Adaptive Weighed Average; The MSE Weighted Average; Velocity Detection;
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
DOI :
10.1109/CCCM.2008.351
