A Blind SNR Estimation Algorithm for MPSK Signals

Author

Dan, Sui ; Lindong, Ge

Author_Institution

Inst. of Inf. & Eng., Inf. Eng. Univ., Zhengzhou

Volume

1

fYear

2006

fDate

38869

Firstpage

375

Lastpage

379

Abstract

The generalized split-symbol moment estimator (GSSME) comes from the SSME with the change that the symbol interval is divided into several subintervals greater than two. An iterative GSSME-based blind signal-to-noise (SNR) estimation algorithm for MPSK signals is presented in this paper, and the relationship between the sample numbers per symbol and the number of subintervals is derived. Simulations are performed for BPSK, QPSK and 8PSK signals, respectively, and comparisons are made with the SSME. It is shown that the GSSME can achieve a lower bias and mean square error (MSE). Further the performance of the GSSME is independent of the modulation order M of the MPSK signals

Keywords

iterative methods; mean square error methods; quadrature phase shift keying; 8PSK signal; BPSK; MPSK signal; MSE; QPSK; binary phase shift keying; blind SNR estimation algorithm; generalized split-symbol moment estimator; iterative GSSME; mean square error; multiple phase shift keying; quadrature phase shift keying; signal-to-noise ratio; AWGN; Additive white noise; Binary phase shift keying; Gaussian noise; Iterative algorithms; Mean square error methods; Modems; Power engineering and energy; Quadrature phase shift keying; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems Proceedings, 2006 International Conference on

Conference_Location

Guilin

Print_ISBN

0-7803-9584-0

Electronic_ISBN

0-7803-9585-9

Type

conf

DOI

10.1109/ICCCAS.2006.284657

Filename

4063901