A method of identifying a spatial target

Abstract

The invention provides a method for identifying a space target, which comprises the following steps of: performing envelope alignment preprocessing on HRRP sample data, and eliminating redundancy of the HRRP sample data subjected to the envelope alignment preprocessing; performing envelope amplitude preprocessing on the HRRP sample data after redundancy elimination, and forming a training set by the data set and a tag set corresponding to the data set; Setting network parameters, and constructing a GRU neural network; using the training set to train the GRU neural network, and reserving a partof data of the training set for verification to obtain a trained GRU neural network model; And preprocessing the HRRP data of the space target to be identified, inputting the preprocessed HRRP data into the GRU neural network model, and taking the highest probability as a space target identification result. According to the method, the deep essential characteristics of the radar HRRP data can beautomatically extracted by constructing an RNN neural network, so that the identification of a space target is completed. The influence of manual feature selection on the recognition result is eliminated, the time and energy of feature extraction are greatly reduced, and the recognition precision of the space target is improved.

Description

technical field [0001] The present invention relates to the technical field of radar target identification, in particular to a method for identifying space targets, in particular to a space target identification method for wideband radar one-dimensional high-precision range profile (High Resolution Range Profile, HRRP). Background technique [0002] As countries all over the world attach great importance to spaceflight and the rapid development of civil spaceflight, more and more satellites are launched into space, and space becomes increasingly crowded, more competitive and confrontational. How to effectively perceive the space situation and then control the space has become a major problem faced by all aerospace powers. As an important means of effectively sensing the space situation, broadband radar has the characteristics of all-day, all-weather, and high resolution. It plays an important role in the space target recognition system and has been widely used. [0003] The...

AI Technical Summary

Problems solved by technology

However, these features are all designed and selected based on the way people are in the loop. It takes a lot of time and energy, and there is a lot of uncertainty at the same time. The generalization ability for different radars and different target types is weak.

In addition, some scholars have proposed the use of BP neural network and multi-layer perceptron for radar target recognition, but these are shallow networks, and it is difficult to obtain deep feature information of data.

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