This thesis presents new results on cyclic prefix (CP) assisted block transmission for low complexity communication system design. Two important aspects are studied: the CP based low-complexity schemes for channel equalization and channel estimation.

Specifically, based on the simple frequency domain equalization, a low complexity joint receiver is proposed for CP-CDMA system, which is a special application of block transmission.

And in this work the finite impulse response (FIR) model is used for the unknown communication channels. To identify an unknown FIR channel, a novel channel estimation method is proposed by exploiting the cyclic prefix technique. Compared to a conventional method, the proposed method delivers the similar estimation accuracy, yet at much lower system overhead and lower computational complexity. In order to minimize the channel total mean square error in channel estimation, the criteria and solutions to optimal training sequence design are also presented. Finally, the performance study is carried out on the proposed channel estimation scheme for BPSK block transmission system as well as CP-CDMA system using simulation along with analysis.