Radar high resolution range profile (HRRP) target recognition method based on convolution factor analysis (CFA) model

A high-resolution range profile and factor analysis technology, applied in the field of radar, can solve the problems of reduced recognition performance, increased model complexity, and poor model parameter estimation accuracy, to ensure recognition performance, reduce model complexity, and reduce the number of dictionary atoms. number reduction effect

Active Publication Date: 2016-10-26
XIDIAN UNIV +1
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Problems solved by technology

The disadvantage of this method is that because the traditional FA describes the correlation between each distance unit, the complexity of the model increases. When the number of training samples is small, the estimation accuracy of the model parameters becomes worse, and the recognition performance is greatly reduced.

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  • Radar high resolution range profile (HRRP) target recognition method based on convolution factor analysis (CFA) model
  • Radar high resolution range profile (HRRP) target recognition method based on convolution factor analysis (CFA) model
  • Radar high resolution range profile (HRRP) target recognition method based on convolution factor analysis (CFA) model

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[0026] Reference figure 1 The statistical identification method of the present invention is divided into two stages of training and testing, and the specific steps are as follows:

[0027] 1. Training steps

[0028] Step 1. Framing the received radar high-resolution range profile HRRP according to the angle domain and take the modulus to obtain the time domain features

[0029] The one-dimensional high-resolution range profile HRRP captured by the radar is divided into multiple data segments at equal intervals according to the target azimuth, and the data segments with relatively complete azimuth angles are selected for training. Each segment is called a frame, and the remaining segments are tested; The training samples after the frame are modulated to obtain their temporal characteristics.

[0030] Step 2: Perform intensity normalization, translation alignment, and average image preprocessing on the high-resolution range profile HRRP training data in each frame.

[0031] 2a) Normaliz...

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Abstract

The invention discloses a radar high resolution range profile (HRRP) target recognition method based on a convolution factor analysis (CFA) model. The radar HRRP target recognition method mainly solves the problem of poor target recognition performance under the condition of small samples in the prior art, and is implemented by the steps of: (1) carrying out framing on HRRPs of various kinds of targets according to angular domains, and carrying out modulus operation on each frame of data to obtain time domain features; (2) carrying out per-processing on each frame of data; (3) constructing a CFA model for each frame of HRRP after preprocessing, and calculating condition posterior distribution of each model parameter; (4) initializing each parameter and performing I-th iterative updating; (5) carrying out intensity normalization on a test sample, and translating and aligning frames of average profiles; (6) calculating frame probability density function values of the test sample according to a posterior mean of parameters of the CFA model; (7) and finding out the maximum probability density function value, and determining a type of the test samples. The radar HRRP target recognition method has the advantages of being low in model complexity, and being capable of applied to radar target recognition under the condition of small samples.

Description

Technical field [0001] The invention belongs to the field of radar technology, relates to a radar target recognition method, and can be used for the recognition and classification of aircraft targets. Background technique [0002] High-resolution radar usually works in the optical zone. At this time, the range resolution unit is much smaller than the target size, so the target can be regarded as a collection of multiple scattering points. The high-resolution range profile HRRP is the superposition of the projections of the wideband radar target scattering point echo along the radar line of sight. It contains rich target range geometric structure information, so it has been widely used in the field of target recognition. [0003] The statistical identification method based on Bayesian theory is based on the posterior probability of the test sample in each category to determine its category, which is widely used for HRRP identification. Related literature has proposed a variety of m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/411
Inventor 杜兰陈健和华郭昱辰王鹏辉刘宏伟
Owner XIDIAN UNIV
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