Blind Symbol Rate Estimation of Faster-than-Nyquist Signals Based on Higher-Order Statistics

Abstract

Both faster-than-Nyquist (FTN) and cognitive radio go towards an efficient use of spectrum in radio communications systems at the cost of an added computational complexity at the receiver side. To gain the maximum potential from these techniques, non-data-aided receivers are of interest. In this paper, we use fourth-order statistics to perform blind symbol rate estimation of FTN signals. The estimator shows good performance results for moderate system's densities beyond the Nyquist rate and for a reasonable number of received samples.

Robust Estimators for Faster-Than-Nyquist Signaling

“…In addition to its resolution issue and high computational cost, this method requires retraining of its DNN whenever there are changes in the system parameters; hence, it is less flexible to adapt to changing scenarios. In the only other report related to the estimation of the symbol rate of FTN signals [23], Abello et al showed that these are not second-order cyclostationary. Hence, the second-order moment usually used for Nyquist signaling is insufficient to estimate the data symbol rate for FTN, requiring the use of the fourth-order moment.…”