System optimization of a 5.8 GHz ETC receiver using Memetic algorithm

Author

Li, Yan ; Jiang, Lai ; Yin, Yan ; Liu, Fangfang ; Yu, Hang ; Ji, Zhen

Author_Institution

Coll. of Comput. Sci. & Software Eng., Shenzhen Univ., Shenzhen, China

fYear

2011

fDate

11-15 April 2011

Firstpage

1

Lastpage

5

Abstract

ETC (Electronic Tolling Collection) systems develop rapidly in China in order to relieve the traffic congestion. As the key component of the ETC system, the design of the Radio Frequency (RF) transceiver is usually a tedious and experienced based work due to its high non-linearity. An automatic system level optimization method based on Memetic algorithm (MA) is proposed in this paper. A fitness function describing the relationship between receiver output signal-to-noise ratio (SNR_out) and 9 system level parameters was derived and was optimized by the MA method. The correctness of the MA method was verified by the ADS simulation. A close result was obtained and the effects of the 9 parameters on the SNR_out were discussed. The future design of the whole transceiver system can be based on this method.

Keywords

optimisation; radio receivers; radio transceivers; telecommunication traffic; 9 system level parameter; ADS simulation; ETC receiver; MA method; RF transceiver; SNR_out; automatic system level optimization method; electronic tolling collection receiver; frequency 5.8 GHz; memetic algorithm method; output signal-to-noise ratio; radiofrequency transceiver; traffic congestion; Band pass filters; Mixers; Noise measurement; Optimization; Receivers; Signal to noise ratio; ADS simulation; ETC; MA; RF receiver; fitness function;

fLanguage

English

Publisher

ieee

Conference_Titel

Memetic Computing (MC), 2011 IEEE Workshop on

Conference_Location

Paris

Print_ISBN

978-1-61284-065-9

Type

conf

DOI

10.1109/MC.2011.5953636

Filename

5953636