A Burst Signal Detection Method Based on Probabilistic Spectral Intensity Matrix Strain Features

Author:

Ma Dingkun1ORCID,Jiang Tong1ORCID,Ding Zongjie1ORCID,Ma Yan1ORCID,Ding Yi1ORCID,Wang Sujun1ORCID,Ping Yifan1ORCID

Affiliation:

1. China Academy of Space Technology (Xi an), China

Publisher

ACM

Reference10 articles.

1. Hainan Zhang. 2017. Research on Detection and Fingerprints Identification Technology of the Short-Burst Signals, Graduate School of National University of Defense Technology[D], Changsha, Hunan, 8(2017).

2. Peng Dongyu. 2020. Design and implementation of short-time burst communication baseband transmission system, Hangzhou Dianzi University[D], 2 (2020).

3. SUI Dan,GE Lin-dong. 2008. Two Blind Presence Detection Algorithms for Burst Signals, signal processing, V01.24, No.5, pp863-866, 10(2008).

4. Improvement of transmitter identification system for low SNR transients

5. HU Y WANG Y Q WU C L. 2012. Detection of non. cooperative burst signals employing continuity in frequency domain. transactions of Beijing Institute of Technology 32:1071-1076. 10(2012).

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