Radar radiation source identification method based on singular value decomposition and one-dimensional CNN network

Abstract

The invention discloses a radar radiation source identification method based on singular value decomposition and one-dimensional CNN network, and mainly solves the problems of complex identification time and low identification precision of a radiation source identification technology in the prior art. The method comprises the following steps: adopting a separation algorithm to carry out signal separation and splitting a radar time sequence into a matrix G; performing singular value decomposition on the matrix G, and extracting a diagonal element forming vector lambda from the decomposed sigmamatrix; making a training set, a verification set and a test set from singular value vectors extracted from a plurality of groups of radar data; designing the one-dimensional CNN network structure aiming at the vector lambda; training the one-dimensional CNN network by using the training set; testing and training the performance of the network by using the verification set, and judging whether thenetwork is available or not; the test set is sent to a trained network, and the network output is a radiation source category. The method reduces the identification time of the radiation source underthe condition of ensuring the available identification rate, and can be used for the identification of the radar radiation source under the complex electromagnetic environment.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a radar-based radiation source identification method, which can be used in electronic intelligence reconnaissance, electronic support and threat warning systems. Background technique [0002] Radar emitter signal identification is an important part of radar electronic countermeasures, and plays an important role in electronic intelligence reconnaissance, electronic support and threat warning systems. [0003] With the development of electronic technology, various new and complex system radars continue to appear, which makes the electronic environment complex and changeable, and brings more and more serious challenges to the precise identification of radiation sources. The traditional methods based on pulse descriptors, namely carrier frequency, pulse width, pulse amplitude, arrival time and arrival angle, have more and more defects in the contemporary electromagnetic si...

AI Technical Summary

Problems solved by technology

However, there are two shortcomings in these existing technologies: the first is that the algorithm recognition rate is low

That is to say, most of the existing algorithms rely on artificially selected features, and the quality of the features determines the recognition rate, which cannot adapt to the increasingly complex electromagnetic environment.

The second disadvantage is the high time complexity

Although this method can effectively improve the recognition rate, it still has the disadvantage of high time complexity.

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