Blind and Semiblind Channel Estimation for Single-Carrier Block Transmission Systems Using Few Received Blocks

In this paper, the blind and semiblind channel estimation and equalization are investigated for zero-padding single-carrier block transmission (ZP-SCBT) systems using second-order statistics. Unlike the conventional channel estimation techniques, the proposed approach focuses on identifying the inverse of the channel impulse response rather than the channel response itself by skillfully exploiting the redundancy of the zero-padding. One interesting advantage of the proposed blind and semiblind approach is that the number of received blocks needed for blind identification is significantly reduced compared to the subspace method. Moreover, the computational complexity of the proposed approaches is much lower than the existing subspace methods. Simulation results are provided to demonstrate that the performance of the proposed approach is superior to the subspace-based blind methods.