A Deinterleaving Method for Mechanical-Scanning Radar Signals Based on Deep Learning-Reference-Cited by-同舟云学术

A Deinterleaving Method for Mechanical-Scanning Radar Signals Based on Deep Learning

Published:2022-04-15 Issue: Volume: Page:
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Container-title:2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)
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Author:

Wang Chao¹,Wang Yao²,Li Xueqiong³,Ke Da⁴

Affiliation:

1. National University of Defense Technology,College of Electronic Science and Technology and College of Electronic Engineering,Changsha,China

2. Army Engineering University of PLA Nanjing, China College of Electronic Science and Technology National University of Defense Technology,Changsha,China

3. National University of Defense Technology,College of Computer Science and Technology,Changsha,China

4. National University of Defense Technology,College of Electronic Science and Technology,Changsha,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9778230/9778231/09778808.pdf?arnumber=9778808

Reference23 articles.

1. Deinterleaving pulse trains using discrete-time stochastic dynamic-linear models

2. Deinterleaving pulse trains in unconventional circumstances using multiple hypothesis tracking algorithm

3. On the estimation of interleaved pulse train phases

4. The limits of extended Kalman filtering for pulse train deinterleaving

5. Joint deinterleaving/recognition of radar pulses;hassan,0

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