Title :
Effective SNR estimation in OFDM system simulation
Author :
He, Shousheng ; Torkelson, Mats
Author_Institution :
Dept. of Appl. Electron., Lund Univ., Sweden
Abstract :
The signal-to-noise ratio (SNR), the standard measure of analog noise attribute, is used to assess the quality of the final demodulation signals in a orthogonal frequency division multiplexing (OFDM) system. The approach is based on the statistical properties of a random process after the Fourier transform. A simple form of least-square SNR estimator in the frequency domain is presented, which drastically reduces the computational complexity since no timing alignment is necessary. The SNR estimation is used to evaluate not only the adverse impairment of the interference in an external channel, but also the severity of different distortions caused by non-ideal operations of the internal components. It is shown that with an effective SNR estimation, quantified measurement can be achieved in a short simulation time for such distortions as caused by non-ideal channel estimation, signal clipping, carrier frequency offset, and many other sources in the system. This leads to more rational trade-offs in the hardware design to optimize the performance of the system under given implementation constraints
Keywords :
Gaussian distribution; OFDM modulation; computational complexity; demodulation; digital simulation; least squares approximations; noise; parameter estimation; random processes; statistical analysis; telecommunication channels; Fourier transform; OFDM system simulation; SNR estimation; analog noise; approximate Gaussian type distribution; carrier frequency offset; computational complexity reduction; demodulation signal quality; distortions; frequency domain; hardware design; interference; least-square SNR estimator; measurement; nonideal channel estimation; orthogonal frequency division multiplexing; random process; signal clipping; signal-to-noise ratio; simulation time; statistical properties; system performance optimisation; Demodulation; Fourier transforms; Frequency domain analysis; Frequency estimation; Frequency measurement; Measurement standards; Noise measurement; OFDM; Random processes; Signal to noise ratio;
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
DOI :
10.1109/GLOCOM.1998.776869