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Time-domain-characteristic-based method for identifying high-resolution range profile of radar target

A high-resolution range image and target distance technology, applied in the radar field, can solve problems such as the degradation of recognition performance, achieve the effects of reducing calculation burden, improving recognition effect, and improving recognition performance

Active Publication Date: 2011-08-31
XIDIAN UNIV
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Problems solved by technology

[0005] (1) Only the relationship between the high-resolution range images of radar targets is studied, and the relationship between each range unit in the echo is ignored. When the number of training samples is small, the recognition performance drops sharply

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  • Time-domain-characteristic-based method for identifying high-resolution range profile of radar target

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Embodiment Construction

[0024] refer to figure 1 , the concrete steps of the present invention are as follows.

[0025] Step 1, preprocessing the radar training target range echo data and the radar test target range echo data.

[0026] Since the radar training target range echo data has attitude sensitivity, translation sensitivity, and intensity sensitivity, and the radar test target data has intensity sensitivity, it is necessary to preprocess the radar training target range echo data and the radar test target data first. Its implementation steps are as follows:

[0027] (1a) Angular domain framing of radar training target range echo data

[0028] The radar training target range echo data is composed of a series of range units. If the envelope displacement of the sub-echo in the range unit of the radar training target range echo data is greater than the distance unit, the scattering point will move beyond the distance unit. The MTRC originally resides in The scattering points in the same range u...

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Abstract

The invention provides a time-domain-characteristic-based method for identifying a high-resolution range profile of a radar target, mainly solving the problems of the traditional radar airplane target identification technology, such as poor identification performance and large internal memory requirement and calculation quantity. The method comprises the following implementation steps of: preprocessing radar training target range echo data; taking modulus from the preprocessed radar training target range echo data and radar testing target range echo data to obtain respective time domain characteristics; training a multitask hidden Markov model for the time domain characteristic of every frame of the radar training target echo data along an echo range unit to determine model parameters, and calculating posterior probability values of the radar testing target echo data by using a forward algorithm; and regarding the categorical attribute of the radar training target echo data corresponding to the maximum posterior probability value as the categorical attribute of the radar testing target echo data. The method disclosed by the invention has the advantages of high identification performance and small internal memory requirement and calculation quantity and can be used for identifying an airplane target.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to automatic target recognition, in particular to a target recognition method of a high-resolution range image of a radar target. Background technique [0002] Radar automatic target recognition technology can provide information such as target attributes, categories, models, etc. High-resolution radar usually works in the microwave band, and the length of the target and its components is much longer than the wavelength. At this time, the radar target can be approximated as a set of discrete scattering points. Correspondingly, the radar transmitted signal is backscattered by the target scattering point, and the scattering point echo is formed after the delay of the amplitude modulation. The radar target echo is the vector sum of each scattering point echo, which is the scattering point of the high-resolution radar target. point model. This model is widely used in radar automatic target ...

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Application Information

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IPC IPC(8): G01S7/41
Inventor 杜兰刘宏伟潘勉王鹏辉
Owner XIDIAN UNIV
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