Open AccessConstruction of power loss equation for intelligent car based on maximum likelihood estimation
Author(s) -
Ran Zhu,
Wei Yang,
Shukun Cao
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1213/5/052091
Subject(s) - path loss , frequency domain , power (physics) , transmission loss , path (computing) , computer science , transformation (genetics) , power control , domain (mathematical analysis) , transmission (telecommunications) , wireless , control (management) , control theory (sociology) , engineering , telecommunications , mathematics , artificial intelligence , computer network , biochemistry , chemistry , physics , mathematical analysis , quantum mechanics , computer vision , gene
Aiming at the integrated control system of intelligent car and shore control center, revolving around high frequency wireless transmission control, this paper introduces the concept of maximum likelihood estimation (MLE), and proposes a power loss equation construction method of the intelligent car based on frequency domain transformation. Proceeding from frequency domain model, the influence of the corresponding parameters on path loss performance of received power which reaches the intelligent car is simulated and analysed in this paper. From simulation results of the frequency domain model, when the incident angle, α, is 0.4 π , the corresponding received power path loss to the intelligent car is minimized. The result reflects the smallest received power path loss to the intelligent car and the impact on the system performance.