Multi-polarization high resolution range profile target recognition method based on LSTM

A high-resolution range profile and target recognition technology, applied in the field of LSTM-based multi-polarization radar high-resolution range profile target recognition, it can solve problems that are not easy to form a general solution, cannot integrate amplitude and phase information, and have poor recognition performance. and other issues to avoid limitations

Active Publication Date: 2019-03-19
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

Manual feature extraction relies on long-term practical experience, it is not easy to form a general solution, and the workload of feature analysis and screening is huge
At the same time, manually extracting features cannot fuse the amplitude and phase info

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  • Multi-polarization high resolution range profile target recognition method based on LSTM
  • Multi-polarization high resolution range profile target recognition method based on LSTM
  • Multi-polarization high resolution range profile target recognition method based on LSTM

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Embodiment Construction

[0021] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0022] The invention provides an LSTM-based multi-polarization radar high-resolution range image target recognition method. LSTM (Long Short-Term Memory) is a variant of Recurrent Neural Network (RNN), which solves the long-term dependency problem of RNN through a series of gates. LSTM is designed to deal with the problem of sequence input, and can fuse the sequence together to produce the final result. It has end-to-end learning ability, can directly output the result, and can extract the abstract features and correlation features inside the sequence.

[0023] For radar multi-polarization HRRP, all channels are echoes of the same target, and each channel represents different information of the same target. Therefore, the present invention regards different channels as sequences, and one channel corresponds to one sequence , combined with the timing funct...

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Abstract

The invention discloses a multi-polarization radar high-resolution range profile target recognition method based on LSTM. The invention can fuse HRRPs of different polarization channels, extract the correlation characteristics of different channels, fully mine the polarization characteristics of targets, simultaneously realize automatic extraction of features, avoid manual extraction of features,and improve target recognition performance. As all channel of that multi-polarization radar are echoes of the same target, LSTM is applied to multi-polarized HRRP target recognition by taking different channels as sequences. By using LSTM to automatically fuse HRRP information of different polarized channels and fully mine the polarization characteristics of targets, the depth and correlation characteristics of targets can be extracted automatically, and the limitation of manual extraction of features can be avoided.

Description

technical field [0001] The invention relates to the technical field of radar target recognition, in particular to an LSTM-based multi-polarization radar high resolution range profile (High Resolution Range Profile) target recognition method. Background technique [0002] Radar automatic target recognition is an important technical support means to realize the intelligence and informatization of radar system. HRRP characterizes the distribution of the target scattering center along the radar line of sight, including the geometric structure characteristics of the target, and is easier to obtain and process than other identification methods. Therefore, radar target recognition based on HRRP has important application value. [0003] Polarization is an essential attribute of electromagnetic waves. It, together with amplitude and phase, reflects the scattering characteristics of the target. Using polarization information can improve the performance of target recognition. The trad...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V2201/07G06F18/251G06F18/24G06F18/214
Inventor 李阳王彦华陈维王宏宇龙腾
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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