DocumentCode :
952900
Title :
Finite Mixture Noise Models for Mobile Digital Television Channel on Urban Terrestrial Broadcasting
Author :
Wang, Zhongyuan ; Jin, Ronghong ; Geng, Junping
Author_Institution :
Shanghai Jiao Tong Univ., Shanghai
Volume :
53
Issue :
4
fYear :
2007
Firstpage :
738
Lastpage :
745
Abstract :
Since 21st century, the test service for digital TV terrestrial broadcasting has been successively carried out in some Chinese big cities, and bus commuters can watch TV programs while traveling in the signal-covered regions. When the digital mobile TV coverage is planned, the level of radio noise in environments is of considerable concern to designers. In this paper the results of average noise power of a digital TV channel in a UHF band on public transportation courses are introduced. Not only the noise factors but also the K times variance deviation of the upper decile of noise factors under three typical communication environments has been obtained through the analysis of nonlinear regression of cumulative distribution functions on the test results. Through the trials of mobile reception of digital television, two coverage plans have been compared; The results show that the coverage effect for the model based on interference statistical distributions is higher than the one based on AWGN noise.
Keywords :
AWGN channels; digital television; mobile radio; regression analysis; statistical distributions; television broadcasting; television reception; UHF band; additive white Gaussian noise channels; bus commuter; cumulative distribution function; finite mixture noise model; interference statistical distribution; mobile digital television channel; mobile reception; nonlinear regression analysis; public transportation course; radio noise; signal-covered region; urban terrestrial broadcasting; Additive white noise; Cities and towns; Digital TV; Gaussian noise; Mobile TV; Radio broadcasting; TV broadcasting; Testing; Watches; Working environment noise; Digital TV; UHF measurements; land mobile radio interference; radio broadcasting; radio noise and data models;
fLanguage :
English
Journal_Title :
Broadcasting, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9316
Type :
jour
DOI :
10.1109/TBC.2007.908300
Filename :
4359972
Link To Document :
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