PDW sequence preprocessing method, system, computer equipment and storage medium

Abstract

The invention discloses a PDW sequence preprocessing method, system, computer equipment and storage medium. Based on the PDW sequence to generate a PDW feature map, the PDW sequence intercepted by the radar reconnaissance receiver is first converted into a feature parameter vector sequence, and then the The frequency band to which the PDW sequence belongs [fre min , fre max ] maps to the interval [nf min , nf max ], and finally generate the PDW feature map including the frequency feature map freFM and the amplitude feature map PAFM according to the given sampling interval Δt. The generated PDW feature map contains the frequency, pulse width, amplitude and arrival time information in the PDW sequence. After the PDW feature map is generated, it can be fed into the trained deep neural network, which can realize the signal recognition under the condition of a certain degree of pulse characteristic parameter distortion, and output the corresponding signal classification result information, thereby improving the recognition performance.

Description

PDW sequence preprocessing method, system, computer equipment and storage medium technical field The present invention relates to signal processing technology field, relate in particular to a kind of PDW sequence preprocessing method, system, computer equipment and storage media. Background technique The realization of signal sorting based on the PDW (pulse descriptor) sequence intercepted by the radar reconnaissance receiver is a radar signal. An important part of the processing, after obtaining the signal sorting results, use the signal sorting results through template matching, database matching and other methods. It is a very common signal processing method to realize target recognition. [0003] The research on radar signal sorting methods began in the 1970s, and there are various methods. Among them, Mardia et al. In 1989 in the paper "New techniques for the deinterleaving of repetitive sequences [J].IEE Proceedings, 1989, 136(4): 149‑154." A very famous cum...

AI Technical Summary

Problems solved by technology

[0005] Whether it is an algorithm based on artificial intelligence or non-artificial intelligence, the common feature is that the characteristic parameter information of the pulse or pulse sequence is used as the input of signal sorting and identification. Therefore, once due to various reasons (such as poor SNR, multipath Influence) leads to the distortion of the pulse characteristic parameter information in the PDW sequence, which will affect the performance of signal sorting and identification

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