Comparison of different channel estimation algorithms from ITS perspective

Author

Dhar, S. ; Chhetri, P. ; Paul, T. ; Dahal, R. ; Sharma, A. ; Bera, R.

Author_Institution

Electron. & Commun. Eng., Sikkim Manipal Inst. of Technol., Majitar, India

fYear

2011

fDate

16-18 Dec. 2011

Firstpage

1

Lastpage

6

Abstract

The channel estimation is an important issue for safety and non safety applications of intelligent transportation systems (ITS). Communication would come to a standstill if there were no channel estimation. It is essential to know the channel characteristics before sending a signal so that we have a fair knowledge of how distorted our received signal could be. Hence proper estimation is a major requirement to avoid erroneous reception. In this work, channel estimation algorithms, viz., LMS, RLS, MMSE and Kalman filter, are compared from ITS perspective. Further a case study, on OFDM based system in a utopian transport scenario, is presented to evaluate the efficiency of these algorithms. The simulation is carried out in MATLAB/ SIMULINK platform.

Keywords

OFDM modulation; automated highways; channel estimation; mobile radio; ITS perspective; Kalman filter; LMS; MATLAB-SIMULINK platform simulation; MMSE; OFDM based system; RLS; Utopian transport scenario; channel estimation algorithm; erroneous reception; intelligent transportation system; nonsafety application; safety application; signal distortion; Channel estimation; Covariance matrix; Kalman filters; Least squares approximation; Noise; Vectors; Wireless LAN; ITS channel; Kalman Filter; Least Mean square (LMS); channel estimation/equalization; mimimum mean square error (MMSE); recursive least square ( RLS);

fLanguage

English

Publisher

ieee

Conference_Titel

India Conference (INDICON), 2011 Annual IEEE

Conference_Location

Hyderabad

Print_ISBN

978-1-4577-1110-7

Type

conf

DOI

10.1109/INDCON.2011.6139475

Filename

6139475