A novel integer carrier frequency offset estimation algorithm for OFDM system with traning symbols

For Integer carrier Frequency Offset(IFO) leads to cyclic shift of subcarrier data in OFDM system, it should be corrected before the OFDM demodulation. In order to resist the selective fading in frequency domain and time domain, the conventional algorithms use the blind estimation method or training sequences in the two sequential OFDM symbols to get the IFO estimation value. These algorithms demand strict time delay and large storage, and can not adopt the mobile and miniaturized OFDM system, such as China Mobile Multimedia Broadcasting (CMMB) system. Other algorithms use one single OFDM training symbol to accomplish the IFO estimation, but these algorithms are valid only before the synchronous error has been eliminated by the utilization of the synchronous parameters. Therefore, this paper proposes a novel IFO estimation algorithm based on one single OFDM training symbol to solve these problems and it is independent of the other synchronous parameters. At last, the performance of the algorithm is simulated under several channel models and the algorithm is verified to adopt to the CMMB system.