Detail publikace

Carrier Frequency Recovery in AWGN Channel

Originální název

Carrier Frequency Recovery in AWGN Channel

Anglický název

Carrier Frequency Recovery in AWGN Channel

Jazyk

en

Originální abstrakt

This paper is focused on a carrier frequency recovery. Two optimization methods utilized for the indirect frequency estimation were chosen to be implemented and simulated in Matlab. The steepest descent method and Newton’s method are described in detail and compared. The simulation pre-processor includes a generator of N-level binary message signal which is modulated, squared and band-pass filtered to obtain a proper form of received signal which is processed in simulation engine. The system operates over an AWGN channel with variable SNR. The time dependences of phase offset estimates and recovered message signal are the results of simulation. The performance of both methods in environments with different SNR is observed.

Anglický abstrakt

This paper is focused on a carrier frequency recovery. Two optimization methods utilized for the indirect frequency estimation were chosen to be implemented and simulated in Matlab. The steepest descent method and Newton’s method are described in detail and compared. The simulation pre-processor includes a generator of N-level binary message signal which is modulated, squared and band-pass filtered to obtain a proper form of received signal which is processed in simulation engine. The system operates over an AWGN channel with variable SNR. The time dependences of phase offset estimates and recovered message signal are the results of simulation. The performance of both methods in environments with different SNR is observed.

BibTex


@inproceedings{BUT20340,
  author="Jakub {Džubera}",
  title="Carrier Frequency Recovery in AWGN Channel",
  annote="This paper is focused on a carrier frequency recovery. Two optimization methods utilized for the indirect frequency estimation were chosen to be implemented and simulated in Matlab. The steepest descent method and Newton’s method are described in detail and compared. The simulation pre-processor includes a generator of N-level binary message signal which is modulated, squared and band-pass filtered to obtain a proper form of received signal which is processed in simulation engine. The system operates over an AWGN channel with variable SNR. The time dependences of phase offset estimates and recovered message signal are the results of simulation. The performance of both methods in environments with different SNR is observed.",
  address="Slovenian Section IEEE",
  booktitle="Proceedings of the 15th International Electrotechnical and Computer Science Conference ERK 2006",
  chapter="20340",
  institution="Slovenian Section IEEE",
  year="2006",
  month="july",
  pages="57",
  publisher="Slovenian Section IEEE",
  type="conference paper"
}