Orthogonal Frequency Division Multiplexing is a multi-carrier transmission technique suitable for wireless communications through frequency selective channels, thus making it an appealing scheme for next-generation applications demanding high data rates. Its robustness with respect to multipath channels is obtained by modulating a set of closely-spaced orthogonal sub-carriers. In order to coherently detect the received signals, Channel State Information must be available to OFDM receivers. Supervised channel estimation is achieved by multiplexing known pilot symbols and data symbols, thus reducing effective system throughput. On the other hand, unsupervised or blind estimation techniques rely solely on the knowledge of statistical characteristics of the transmitted signal in order to identify the channel. This thesis proposes two blind channel estimators, for OFDM systems with CP or ZP guard interval. The first estimator is based on correlation matching: a channel estimate is obtained as the argument which minimizes the Frobenius quadratic norm of the difference between the parameterized theoretical correlation matrix of the transmitted signals and an estimate of that matrix obtained by means of observations at the receiver. The second estimator is obtained by modifying the noise subspace based channel estimator and using an estimate for the noise subspace projector which relies on powers of the inverse correlation matrix. Techniques to eliminate the inherent complex ambiguity derived from the proposed blind channel estimators are addressed. The porposed estimators’ formulation is also extended to the case of OFDM systems with insufficient guard intervals. Simulation results depict Mean Square Error of the proposed estimators, as well as Bit Error Rate performance of systems using those estimators in various scenarios.