Skywave over-the-horizon radar transient interference suppression method based on robust principal component analysis

Abstract

The invention discloses a skywave over-the-horizon radar transient interference suppression method based on robust principal component analysis, and the problem of a poor interference suppression effect caused by the need of previous transient interference positioning in the prior art is mainly solved. The method comprises the steps of (1) using distance unit echo signals to construct Hankel matrixes in a plural form and decomposing the Hankel matrixes as a real part matrix and an imaginary part matrix, (2) calculating the sparse matrixes and the low rank matrixes corresponding to the real part matrix and the imaginary part matrix, (3) obtaining the echo signals to transient interference and noise suppression according to the low rank matrix of the real part and the low rank matrix of an imaginary part, (4) subjecting each distance unit in the step (1), (2) and (3) and carrying out Doppler processing to obtain echo distance Doppler information with transient interference and noise suppression. The complexity of the method is low, it can significantly suppress noise and transient disturbances multiple simultaneous presence can be used for sky wave or ground wave OTH radar interference lightning strike, meteor trails interference echo suppression and human impact of interference.

Description

technical field [0001] The invention belongs to the field of radar technology, in particular to a transient interference suppression method for sky-wave over-the-horizon radar, which can be used for lightning impact interference, meteor trail echo interference and artificial impact interference in sky-wave or ground-wave over-the-horizon radar suppression. Background technique [0002] The sky-wave over-the-horizon radar works in the high-frequency band of 3-30MHz, and uses the ionosphere to refract and bend high-power radio waves and propagate downwards to increase the detection distance. Its detection distance ranges from 800km to 3500km, so it is mainly used for remote early warning. The main targets of detection are aircraft, ships and ballistics. Sky-wave over-the-horizon radar is susceptible to interference from the external environment, among which transient interference is the most influential. It is characterized by short duration, high intensity, and wide bandwidt...

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Problems solved by technology

It is mainly divided into two categories. One is to detect the interference position first, then remove the interference data, and finally restore the signal by using data interpolation methods such as autoregressive AR model, neural network, or compressed sensing. For example, Xing Mengdao, Bao Zheng, Qiang Yong. Transient interference suppression for sky-wave over-the-horizon radar. Wave suppression will suppress part of the interference energy at the same time, so it will affect the position detection of the subsequent transient interference; in addition, when the transient interference position is located, the transient interference will be set to zero, and then the interrupted data will be restored using the AR model , when there are multiple interference locations, the data recovery effect is not ideal

Another type uses the signal decomposition theory to decompose the echo signal into multiple components, remove the interference components from the multiple components according to the characteristics of transient interference, and finally use the remaining components to resynthesize the echo signal, such as Zhou Zhonggen, Shui Penglang .Suppression of sky-wave over-the-horizon radar transient interference based on empirical mode decomposition of complex data. Journal of Electronics and Information Technology, 2011, 33(12), pp.2831-2836. This method decomposes time-domain data into multiple natural modes State function IMF, this method does not need the AR model for data recovery, but because the target echo exists in each IMF component, the IMF containing interference will be eliminated, which will lead to a decrease in the signal-to-clutter ratio, and there are still many interference residual components after suppression, Another disadvantage of this method is that the algorithm complexity is high, and engineering implementation is difficult

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