Pulse splicing method based on intra-pulse characteristics

Abstract

The invention designs a split pulse splicing method based on intra-pulse characteristics, which is mainly used for realizing pulse signal splicing when a detected pulse signal has a frequency domain or time domain split condition in a low signal-to-noise ratio or complex interference electromagnetic environment. The method comprises the following steps: firstly, analyzing a received pulse signal to judge a suspected split pulse, and establishing an intra-pulse characteristic matrix of the pulse; calculating a similarity coefficient of the two suspected split pulses, performing pulse splicing on the two split pulses of which the similarity coefficient exceeds a threshold, and performing intra-pulse analysis processing again to generate a new pulse parameter (PDW); and finally, processing the generated new data to generate a radiation source RDW parameter. According to the method, pulse splicing is carried out on the reconnaissance split pulse signals by utilizing the pulse intra-pulse characteristic parameters, a problem of large-pulse-width and large-bandwidth signal splitting is solved, accurate pulse parameter calculation is realized, the target reconnaissance accuracy and the target recognition rate of the passive radar are effectively improved, and a certain application prospect is possessed.

Description

Technical field[0001]This technology belongs to the passive detection technology passive radar data processing field.Background technique[0002]Due to the development of radar technology, passive radar is facing severe challenges, and radar anti-reconnaissance and anti-jamming capabilities have been significantly enhanced. In the process of signal reconnaissance, in the case of low noise ratio or complex interference electromagnetic environment, the detected pulse signal will be split in the frequency domain or time domain, which will affect the accuracy of passive radar target recognition and affect the equipment performance. Most of the existing passive radar equipment does not solve this problem well and cannot restore the split pulse and analyze and process the data correctly. The signal splicing restoration of split targets provides a new processing technology for target analysis, which effectively improves the accuracy of target recognition.[0003]Due to the complex electromagne...

AI Technical Summary

Problems solved by technology

[0003] Due to the complex electromagnetic environment and the variable parameters of modern radar signals, the quality of detected signals is uneven

For large pulse width or large bandwidth signals, in many cases such as low signal-to-noise ratio, complex electromagnetic environment or channelization processing, it is easy to split the pulse in the time domain and frequency domain.

Due to the splitting of the pulse time domain or frequency domain, the subsequent data processing such as intra-pulse feature analysis, signal sorting, and radiation source fusion will be affected by it, and the final analysis results will also be biased, and the radiation cannot be obtained correctly. source parameter

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