Radar range profile statistics and recognition method based on FA model in strong noise background

A range image and strong noise technology, applied in the field of radar automatic target recognition, can solve problems such as low recognition rate, mismatch of noise components, and signal-to-noise ratio of difficult-to-test samples

A range image and strong noise technology, applied in the field of radar automatic target recognition, can solve problems such as low recognition rate, mismatch of noise components, and signal-to-noise ratio of difficult-to-test samples

CN101598784AActive Publication Date: 2009-12-09XIAN CETC XIDIAN UNIV RADAR TECH COLLABORATIVE INNOVATION INST CO LTD
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  • Radar range profile statistics and recognition method based on FA model in strong noise background
  • Radar range profile statistics and recognition method based on FA model in strong noise background
  • Radar range profile statistics and recognition method based on FA model in strong noise background

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Embodiment Construction

[0059] refer to figure 1 , the statistical identification method of the present invention comprises two stages of training and testing, and concrete steps are as follows:

[0060] Step 1, framing the continuous HRRP for the radar.

[0061] The one-dimensional high-resolution range image captured by the radar in a high signal-to-noise ratio environment is used as training data. Divide all the training data of the target into multiple data segments at equal intervals according to the orientation of the target, and call each segment a frame; and store the frame samples in sequence.

[0062] Step 2, aligning the HRRP translation in each frame.

[0063] Because the translation of the target along the direction of the radar ray will cause the change of the HRRP translation, so the HRRP of the same target that has the translation will become two samples with little similarity, which is not good for target recognition. translation sensitivity. For framed data, the samples in each...

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Abstract

The invention discloses a radar range profile statistics and recognition method based on a FA model in the strong noise background, which relates to the technical field of radar automatic target recognition and mainly solves the problem that the current statistics and recognition methods based on the FA model are not robust to noises. The training phase comprises the following steps: framing, translating, aligning and strength-normalizing radar HPPR continuously, learning the parameters of each azimuth frame of the FA model by adopting the processed HRRP and storing a template. The test phase comprises the following steps: first strength-normalizing, translating and aligning the samples to be tested and then estimating the range of the signal-to-noise ratios (SNR) of the samples; computing the distance value of each frame of each target and deciding the category attribute if the SNR is more than 30dB, and rewriting the distance value, solving the noise energy under SNR condition by minimizing the distance value, finally computing the distance value of each frame of each target and deciding the category attribute if the SNR is less than 30dB. The method has the advantages of robustness to noises and less computation and is applied to identifying radar targets.

Description

technical field [0001] The invention belongs to the technical field of radar automatic target recognition, in particular to a statistical recognition method of radar range images under strong noise background based on FA model. Background technique [0002] The automatic targeting technology of one-dimensional high-resolution range profile can be traced back to the 1980s. Because the one-dimensional high-resolution range image HRRP can provide the geometric structure information of the target along the distance direction, and has the unique advantage of being easy to obtain and process; at the same time, the radar has the characteristics of all-weather and all-weather, and the radar one-dimensional high-resolution range image automatic target recognition received widespread attention. [0003] The recognition method based on statistical model is an important radar HRRP automatic target recognition method. The statistical identification of one-dimensional high-resolution ra...

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Application Information

Patent Timeline
09 Dec 2009
Publication
CN101598784A
IPC
G01S7/41
Inventors
刘宏伟; 陈凤