Abstract:Orthogonal Frequency Division Multiplexing (OFDM) has become one of the most widely used multi carrier transmission schemes because of its advantages of high spectrum utilization, strong anti-multipath ability and low complexity. However, the OFDM system is vulnerable to narrowband interference, resulting in a significant reduction in Bit Error Rate (BER) performance. To solve this problem, an effective narrowband interference cancellation algorithm is proposed. By estimating and reconstructing the narrowband interference in frequency domain, the interference can be eliminated accurately. The Maximum Likelihood (ML) estimation method combined with zero fill interpolation method is used for preliminary estimation to avoid misjudgment caused by spectrum leakage. The frequency of the received signal is transformed by using the initial estimated frequency, the Weighted Phase Averaging (WPA) algorithm is applied to obtain the accurate estimation of the interference frequency. The simulation platform is used for simulation modeling, and the BER performance of the system under different jamming intensity is tested. Experiments show that the proposed algorithm can effectively improve the BER performance of the system, and is not affected by the interference intensity.