A novel impulsive interference (IMI) detection algorithm based on AR model is proposed in this paper, aiming at detecting the IMI and estimating its position in the echo samples received by Over-the-horizon Radar(OTHR). The key to the algorithm is the exploitation of the IMI’s spectrum characteristics which is regarded as complex sinusoid and modeled as autoregression(AR). When getting the AR model, the amount of the contained sinusoid signals and their frequency parameters can be estimated by the transfer function, where the frequency is just corresponding to the IMI’s position. This algorithm’s operational performance is evaluated using experimental data sets from a high frequency surface wave (HFSW) OTHR system, and is proved to be suitable for most types of IMIs.
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