A Method of Resisting Strong Narrowband Interference Based on Spectral Line Processing

Abstract

The invention discloses a strong narrow-band interference resistance method based on spectral line processing. The method comprises the following steps: firstly performing N point FFT transform on a time domain signal, and calculating signal energy Xi corresponding to each frequency point of a signal spectrum; then, judging whether narrow-band interference is present according to single point signal energy, if the interference is present, setting a real part and an imaginary part of the spectrum of the frequency point whose energy is greater than a preset single point energy threshold XGate by using a threshold zeroing method, otherwise, performing no processing on the spectrum, performing IFFT transform on the processed signal spectrum, and outputting the time domain signal subjected to the threshold zeroing processing by moving the same leftward; and finally, performing digital automatic gain control on the real part and the imaginary part of the time domain signal. According to the method, the interference resistance method is combined with the digital AGC on the basis of the spectral line processing, therefore the data amplitudes of the subsequent modules are basically consistently while guaranteeing the strong narrow-band interference, and the normal execution of the subsequent method is guaranteed.

Description

technical field [0001] The invention relates to an anti-strong narrow-band interference method based on spectral line processing, which belongs to the technical field of communication. Background technique [0002] The traditional anti-interference method based on spectral line processing is to perform FFT transformation on the input signal first, and compare the energy of each frequency point with the threshold. Perform IFFT transformation, and finally send the time-domain signal after IFFT transformation to the subsequent signal processing module. Regardless of whether there is strong narrowband interference or not, the truncation of the signal after IFFT processing is the same in this method. In this way, when the interference is relatively strong, because the signal energy is almost concentrated on the interference, by setting the interference to zero, the signal after IFFT The signal will be very small and may be cut off, which will seriously affect the performance of ...

AI Technical Summary

Problems solved by technology

Regardless of whether there is strong narrowband interference or not, the two algorithms have the same truncation of the signal after IFFT processing. When the interference is strong, the signal after anti-interference processing will be very small and may be blocked by zeroing the interference. cut off, which will seriously affect the performance of subsequent signal processing modules

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