Automated Radar Signal Analysis Based on Deep Learning

Link to full IEEE Paper

This paper is published in the 2020 10th Annual Computing and Communication Workshop and Conference (CCWC). In this research, a model based on the LSTM model combined with wavelet transform is proposed as a promising solution for the identification of a radar signal in a noisy environment. Radar emitter analysis is achieved by step by step process as followed:

  • The first part is denoising a radar signal using a wavelet transform (WT). Consists of a few steps such as power envelope, Hilbert Transform, and wavelet transform to remove the noisy data
  • The second part includes training a long shortterm memory (LSTM) model with the radar dataset, to trace radar signal.

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