Power spectral feature correction-based radar target identification method under noise background
A recognition method and radar target technology, applied in the field of target recognition, can solve the problem of low recognition rate and achieve the effect of improving the target recognition rate
Active Publication Date: 2013-08-07
XIDIAN UNIV
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[0005] The object of the present invention is to provide a method for target recognition under noise background conditions, to solve the above-mentioned deficiencies in the prior art that the recognition rate is low under noise background conditions
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[0030] refer to figure 1 , the implementation steps of the present invention are as follows:
[0031] Step 1. Obtain the normalized training target range image samples.
[0032] Take out multiple types of targets from the radar echo database as training targets, and perform pulse compression on the echoes to obtain the initial range image sample x of the training targets a , what pulse compression uses in the present invention is the method of matched filtering.
[0033] In the actual application environment, due to the influence of many factors such as the distance between the target and the radar, the intensity of the range image samples of the training target is different. This characteristic is called intensity sensitivity; the signal-to-noise ratio of the range image samples of the training target can reach more than 30dB , its noise part is basically negligible, so for a training target with an initial distance like sample x a , use the 2-norm intensity normalization ...
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The invention discloses a power spectral feature correction-based radar target identification method under a noise background and mainly solves the problem that the identification rate is low due to the fact that target identification is performed by directly using an uncorrected power spectral feature under the noise background in the prior art. The power spectral feature correction-based radar target identification method under the noise background comprises the following implementation procedures of normalizing the strength of a training sample; extracting the power spectral features of the normalized training sample; training a classifier by using the power spectral features of the training sample to obtain a weight coefficient of the classifier; normalizing the strength of a test sample, extracting the power spectral features of the test sample, working out correction terms of the power spectral features, and correcting the power spectral features of the test sample; and classifying the power spectral features of the corrected test sample by using the trained classifier to determine the category and the mark number of a target. The power spectral feature correction-based radar target identification method under the noise background is stable to noise, and can be used for radar target identification.
Description
technical field [0001] The invention belongs to the technical field of radar and relates to a target identification method, which can be used to identify targets such as airplanes and vehicles under the background of noise. Background technique [0002] The high-resolution distance image is the vector sum of the target scattering point echo projected in the radar ray direction of the broadband radar signal, which can provide the approximate distribution of the target scattering point echo in the distance direction, which is of great value for target identification, so it has become a radar Research hotspot in the field of automatic target recognition. [0003] In practical applications, due to the randomness of the high-resolution range image in the distance window, the range image has a translation sensitivity problem, so the direct use of the range image recognition requires translation alignment. Commonly used range image alignment methods include sliding correlation met...
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Inventor 杜兰李志鹏袁希望王鹏辉刘宏伟
Owner XIDIAN UNIV