Radar target recognition method based on noise backgrounds of plural AGC models
A noise background and radar target technology, applied in the field of target recognition, can solve the problems of inability to have both recognition rate and high calculation amount, and achieve the effect of improving target recognition rate and small calculation amount
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[0030] refer to figure 1 , the implementation steps of the present invention are as follows:
[0031] Step 1, obtain training samples under the condition of high SNR.
[0032] The data in the radar database is collected under ideal conditions, and its signal-to-noise ratio is very high, usually above 30dB. The range image echo data of multiple types of targets in the database are selected as the complex range image sample set X: X={ x 1 , X 2 ,...,X c ,…X E}, where X c is the complex range image training sample of the c-th category target, c=1, 2,..., E, E represents the total number of categories of the target.
[0033] Step 2, calculate the modulus average image and variance image.
[0034] 2a) Calculate the modulus average image and variance image of the c-type target
[0035] 2a1) According to the orientation of the target, the training sample X of the complex range image of the c-class target c Divided into F frames: X c ={X c1 , X c2 ,…X ck ,…X cF}, k=1, 2, ...
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