ABSTRACT
In order to improve the real-time performance of singular value spectrum weighted Hankel-SVD filtering algorithm, this paper proposes a color ultrasonic Doppler imaging clutter suppression algorithm based on bidirectional LSTM model. In this method, PRF data are collected by portable ultrasonic instrument, and then the singular value weighted Hankel-SVD filtering algorithm is verified. The results show that the algorithm can effectively suppress the non-stationary clutter signal, and then the bidirectional LSTM model is established based on the input and output data of the singular value weighted Hankel-SVD filtering algorithm for adaptive feature extraction. The optimal model is obtained by training on a large number of datasets. Experimental results show that this model can effectively reduce the time complexity of singular value weighted Hankel-SVD filtering algorithm.
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