STAP training sample selection method based on system identification
A training sample and system identification technology, applied in the radar field, can solve problems such as waveform dissimilarity, missing similarity, and low available samples
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[0079] With sky-wave radar operating frequency f 0 =18.3MHz, pulse repetition period T=12ms, pulse accumulation number M=512, coherent integration time CIT=6.144s. In the echo data, it is known that the 435th range unit to be detected has a target with a Doppler frequency of -5.859, and its spectrum is as follows figure 2 shown. image 3 is the similarity between each distance unit data and the unit to be detected, Figure 4 Indicates the normalized output variance of each distance unit after filtering by the trained neural network.
[0080] If the training samples are selected based on similarity, theoretically, samples with a correlation coefficient close to 1 should be selected as much as possible. However, subject to the limitation of the number of optional samples, according to the reference "Zhang X, Yang Q, Deng W. Weak target detection within the nonhomogeneous ionospheric clutter background of HFSWR based on STAP [J]. International Journal of Antennas and Propagat...
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