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This paper presents a regroup method based on reassigned smoothed pseudo Wigner-Ville distribution (RSPWVD) to detect time-varying interference for global navigation satellite system (GNSS) receivers with a single antenna. In order to prove the effectiveness and superiority of the introduced method, the theoretical analysis and performance simulation has been performed between the proposed method and the classical time-frequency analysis methods. The performance of the proposed method has been accessed by experiments with the real BDS B1I signals corrupted by the linear frequency modulation (chirp) interference. The actual performance of experiments has been used to test theoretical analysis by the quantitative metric root mean square error of the instantaneous frequency estimation. The results of experiments depict that the regroup method based on RSPWVD completely eliminates not only cross-term interferences but also end effects and provide better detection performance of time-varying interference compared with the classical time-frequency analysis methods for GNSS receivers with a single antenna. INDEX TERMS End effects, GNSS, RSPWVD, single antenna, time-varying interference.

In this paper, a joint method combining Hough transform and reassigned smoothed pseudo Wigner-Ville distribution (RSPWVD) is presented to detect time-varying interferences with crossed frequency for a Global Navigation Satellite System (GNSS) receiver with a single antenna. The proposed method can prevent the cross-term interference and detect the time-varying interferences with crossed frequency which cannot be achieved by the classical time-frequency (TF) analysis with the peak detection method. The actual performance of the developed method has been evaluated by experiments with conditions where the real BeiDou system (BDS) B1I signals are corrupted by the simulated chirp interferences. The results of experiments show that the introduced method is effectively able to detect chirp interferences with crossed frequency and provide the same root mean square errors (RMSE) of the parameter estimation for chirp one and the improved initial frequency estimation for chirp two compared with the Hough transform of Wigner-Ville distribution (WVD) when the jamming to noise ratio (JNR) equals or surpasses 4 dB.

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