GENERALIZED WAVELET-BASED SYMBOL RATE ESTIMATION FOR LINEAR SINGLECARRIER MODULATION IN BLIND ENVIRONMENT

Abstract

In non-cooperative communication, signal parameters are unknown at the receiver front-end. This environment is considered as blind. Hence, estimation algorithms become very important for efficient and automatic real-time services. Indeed, knowing the fundamental signal parameters is necessary for data recovering correctness and demodulation reliability. In this paper, we address a symbol period estimation approach generalized for all linear modulation schemes. This approach is based on the wavelet transform due to its high capacity to detect discontinuity structures and zoom on the signal abrupt changes. A pre-estimation of the carrier frequency is introduced, allowing the operating in the totally blind environment. From simulations we conclude that this approach presents high estimation accuracy and high efficiency for very low SNR levels and it is applied for all types of linear modulations in practical Rayleigh channel case.