Symbol-by-symbol MAP detection of differential frequency hopping signals for PLC applications

Author

Zhang, Rui ; Liu, Kaihua

Author_Institution

Sch. of Electron. Inf. Eng., Tianjin Univ., China

fYear

2005

fDate

6-8 April 2005

Firstpage

105

Lastpage

108

Abstract

In this paper, a symbol-by-symbol maximum a posteriori probability (SBS-MAP) detection of differential frequency hopping (DFH) signals is proposed. Because the frequency sequence of DFH signals can be interpreted as a Markov chain, the algorithm is derived based on a trellis diagram describing the state transitions of a Markov source. The signals are assumed to be transmitted over AWGN channels. Simulation results demonstrate that the SBS-MAP detection outperforms others such as fast Fourier transform (FFT) detection and maximum likelihood sequence estimation (MLSE) detection, which makes it a potentially powerful detection scheme for the design of the receiver of reliable high data rate power line communications (PLC).

Keywords

AWGN channels; Markov processes; carrier transmission on power lines; fast Fourier transforms; frequency hop communication; maximum likelihood detection; maximum likelihood sequence estimation; receivers; telecommunication network reliability; AWGN channels; Markov chain; differential frequency hopping signals; fast Fourier transform detection; maximum a posteriori probability detection; maximum likelihood sequence estimation detection; power line communications; symbol-by-symbol MAP detection; trellis diagram; Fast Fourier transforms; Frequency; Maximum likelihood detection; Maximum likelihood estimation; Power line communications; Programmable control; Redundancy; Signal design; Signal detection; Spread spectrum communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Line Communications and Its Applications, 2005 International Symposium on

Print_ISBN

0-7803-8844-5

Type

conf

DOI

10.1109/ISPLC.2005.1430475

Filename

1430475