Radar target identification method based on unlimited maximum interval linear discriminant projection model
A technology of maximum interval and linear discrimination, which is applied in the field of radar and can solve problems such as low recognition rate
Active Publication Date: 2017-09-29
XIDIAN UNIV
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[0006] The purpose of the present invention is to overcome the deficiencies in the prior art, and propose a radar target recognition method based on the infinite maximum interval linear discriminant projection model, which is used to solve the technical problem of low recognition rate existing in the existing radar target recognition method
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[0033] Specific implementation (explain and describe the technical solution)
[0034] Below in conjunction with the accompanying drawings and specific embodiments, the present invention is described in detail:
[0035] refer to figure 1 , a radar target recognition method based on an infinite maximum interval linear discriminant projection model, including the following steps:
[0036] Step (1) Obtain the power spectrum feature training sample set X and its corresponding category label set y:
[0037] (1a) The radar receives 600 high-resolution range images of three types of targets, and obtains 600 high-resolution range images.
[0038] (1b) Extract the power spectrum feature of each high-resolution range image in the 600 high-resolution range images, and obtain the power spectrum feature training sample set X={x 1 ,x 2 ,…,x n ,…,x N}, and the class label corresponding to the power spectrum feature training sample set X is represented by the class label set y: y={y 1 ,...
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The invention provides a radar target identification method based on an unlimited maximum interval linear discriminant projection model and aims to solve a technical problem of low identification rate existing in a radar target identification method in the prior art. The method comprises steps that a power spectrum characteristic training sample set X and a corresponding class label set y thereof are acquired; the unlimited maximum interval linear discriminant projection model is constructed; a joint pseudo posterior distribution expression of the unlimited maximum interval linear discriminant projection model is defined; an initial value of each parameter in the joint pseudo posterior distribution express of the unlimited maximum interval linear discriminant projection model is set; condition posteriori distribution of each parameter of joint pseudo posterior distribution of the unlimited maximum interval linear discriminant projection model is expressed; sampling of the expressed condition posteriori distribution of each parameter is carried out; a power spectrum characteristic test sample set X<^> and the corresponding test class label set y<^> are acquired; the radar target identification rate is acquired. The method is advantaged in that detection identification of radar high resolution distance images can be realized.
Description
technical field [0001] The invention belongs to the technical field of radar, and relates to a radar target identification method, in particular to a radar target identification method with an infinite maximum interval linear discriminant projection model, which can be used for detecting and identifying radar high-resolution range images. Background technique [0002] Radar target recognition is a technical means used by radar to identify targets that have been found in its search volume. The principle is to use the radar echo signal of the target to determine the target type. Broadband radar usually works in the optical area. At this time, the radar target can be regarded as composed of a large number of scattering points with different intensities. The high-resolution range profile HRRP uses the broadband radar signal to obtain the vector sum of the echo signals of each scattering point on the target. It reflects the distribution of scattering points on the target body alo...
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IPC IPC(8): G01S7/41G06K9/00G06K9/62
CPCG01S7/41G06V20/13G06V2201/07G06F18/23G06F18/2411G06F18/214
Inventor 陈渤刘宁文伟刘宏伟
Owner XIDIAN UNIV