Improving Performance in Neural Network Based Pulse Compression for Binary and Polyphase Codes

Pulse compression is important for improving range resolution, and the application of neural networks for pulse compression has been well-explored in the past. However, the practical importance of extracting rather weak echoes of targets that are either distant, or have small radar cross-section, appears to have been overlooked. Addressing this issue, neural networks with improved performance are developed in this paper for both Barker and Polyphase codes. We demonstrate that our networks perform better in such practical situations together with better noise tolerance and range resolution.