A Novel Interrupted-Sampling Repeater Jamming Suppression Method Based on Time-Frequency Analysis and Target Sparse Reconstruction
Algorithm 1
The proposed method.
Input: The echo signal sr (t), the sliding window h (t), the trained SVM, the dictionary Φ, and the target locating threshold γ.
Output: Target positions rt, target identification result it, the reconstructed target echo signal .
Begin
(1)
Carry out sparse representation for sr (t);
(2)
Obtain the target positions rt according to the preset threshold γ;
(3)
Perform pulse compression to sr (t);
(4)
Implement STFT to transform the PC result SPC (t) into TF domain;
(5)
Extract TFIE features according to the acquired target positions rt;
(6)
Input the TFIE features into the trained SVM and obtain the target identification result it;
(7)
Construct an adaptive filter F based on it;
(8)
Perform adaptive filtering in the sparse representation result to retain the corresponding peaks of real targets and filter out the corresponding peaks of the false targets;
(9)
Reconstruct the target echo signal through Φ and amplitude compensation to obtain the jamming-free result;
