Radar high-resolution range profile target recognition method based on state space model

A high-resolution range image and state space model technology, applied in the field of target recognition, can solve the problems of high cost of high-resolution range images, low learning accuracy of recognition system parameters, difficulty in obtaining high-resolution range image samples, etc., and meet the training sample requirements. The effect of small volume and high recognition performance

Active Publication Date: 2011-11-23
XIAN CETC XIDIAN UNIV RADAR TECH COLLABORATIVE INNOVATION INST CO LTD
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Problems solved by technology

As we all know, the cost of acquiring a large number of high-resolution range images is huge, especially for non-cooperative targets, it is difficult

Method used

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  • Radar high-resolution range profile target recognition method based on state space model
  • Radar high-resolution range profile target recognition method based on state space model
  • Radar high-resolution range profile target recognition method based on state space model

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Embodiment Construction

[0017] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0018] Step 1. Extract the normalized spectrum magnitude signal from the high-resolution range image training samples as the identification features of the training samples.

[0019] 1.1) Perform Fourier transform on the high-resolution range image training sample to obtain the frequency domain signal of the training sample. In order to overcome the initial sensitivity of the frequency domain signal of the training sample, perform a modulo operation on the frequency domain signal of the training sample to obtain the training Spectrum magnitude signal y of the sample = [y 1 ,y 2 ,...,y d ], where y f is the fth element of the training sample spectrum magnitude signal y, f=1, 2,..., d, d represents the dimension of the training sample spectrum magnitude signal y;

[0020] 1.2) Normalize the spectral magnitude signal y of the training sample: z=y / ||y|| 2 , to overcome the...

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Abstract

The invention discloses a radar high-resolution range profile target recognition method based on a state space model, mainly used for solving the problem of a large demand on training samples and poor recognition performance in the traditional radar high-resolution range profile target recognition technology. The realization process of the radar high-resolution range profile target recognition method comprises the steps of: extracting frequency spectrum amplitude signals after training sample normalization to be used as recognition characteristics of the training samples; modeling the recognition characteristics of the training samples by using a state space model; estimating all parameters of the state space model of the training samples by using an expectation maximization method, storing all the parameters in a recognition system template base; and extracting frequency spectrum amplitude signals after training sample normalization to be used as recognition characteristics of the training samples, and recognizing the recognition characteristics of the training samples. The invention has the advantages of a small demand on the training samples and high recognition performance, and can be used for recognizing radar targets.

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. Background technique [0002] Radar target recognition is to use the radar echo signal of the target to realize the judgment of the target type. Broadband radar usually works in the optical region, where the target can be regarded as composed of a large number of scattered points with different intensities. The high-resolution range image is the vector sum of the echoes of each scattering point on the target body obtained by wideband radar signals. It reflects the distribution of scattering points on the target along the radar line of sight, contains important structural features of the target, and is widely used in the field of radar target recognition. [0003] Traditional target recognition methods only study the relationship between different high-resolution range images, but ig...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/66
Inventor 刘宏伟王鹏辉杜兰戴奉周纠博
Owner XIAN CETC XIDIAN UNIV RADAR TECH COLLABORATIVE INNOVATION INST CO LTD
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