Startup algorithm of pulse deinterleaving based on RNN model

Shuo Yuan; Li-Wen Zhu; Zhang-Meng Liu

doi:10.1117/12.2681036

8 June 2023 Startup algorithm of pulse deinterleaving based on RNN model

Shuo Yuan, Li-Wen Zhu, Zhang-Meng Liu

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 127075C (2023) https://doi.org/10.1117/12.2681036
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

Accurate and timely pulse sorting is the basis of passive signal processing and the common pursuit of many works in this field. This paper improves the previous method of deinterleaving pulses using trained RNN models and proposes a paragraph-startup algorithm, which effectively improves the success rate and timeliness of deinterleaving.

Citation Download Citation

Shuo Yuan, Li-Wen Zhu, and Zhang-Meng Liu "Startup algorithm of pulse deinterleaving based on RNN model", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 127075C (8 June 2023); https://doi.org/10.1117/12.2681036

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