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Doppler imaging clutter suppression algorithm based on bidirectional LSTM

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Published:12 October 2022Publication History

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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  • Published in

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    CCRIS '22: Proceedings of the 2022 3rd International Conference on Control, Robotics and Intelligent System
    August 2022
    253 pages
    ISBN:9781450396851
    DOI:10.1145/3562007

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    Publication History

    • Published: 12 October 2022

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