Title :
Reduced complexity feedforward frequency offset estimator for AWGN communication channels
Author :
Rezki, M. ; Kale, I. ; Sabel, L.
Author_Institution :
Dept. of Electron. Syst., Westminster Univ., London, UK
Abstract :
A reduced complexity generalised form frequency offset estimator is presented. The new estimator is considered as the general form of the simple autocorrelation estimator of the already published Luise and Regiannini frequency offset estimator. However, it uses different autocorrelation delays to lower the (1995) complexity maintaining close to optimum performance. Theoretical and practical analyses of the new estimator are investigated. A comparison of performance and implementation cost is given. The new estimator is shown to have an order of magnitude lower computational complexity while attaining comparable performance.
Keywords :
AWGN channels; communication complexity; correlation methods; delays; feedforward; frequency estimation; statistical analysis; AWGN communication channels; additive white Gaussian noise; autocorrelation delays; autocorrelation estimator; computational complexity; estimator performance; implementation cost; optimum performance; reduced complexity feedforward frequency offset estimator; statistical characteristics; AWGN; Additive white noise; Autocorrelation; Communication channels; Communication systems; Digital signal processing; Frequency estimation; Gaussian noise; Maximum likelihood estimation; Signal to noise ratio;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1028335