Advanced Algorithm for Automatic Modulation Recognition for Analogue & Digital signals

被引：0
|
作者：
Dahap, Badreldeen Ismail [1 ]
Liao HongShu [2 ]
机构：
[1] Karary Univ, Dept Elect & Comp Sci, Fac Engn, Khartoum 12304, Sudan
[2] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Sichuan, Peoples R China
来源：
2015 International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE) | 2015年
关键词：
features; instantaneous information and modulation recognition algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we propose a new algorithm for recognition of analogue and digital communication signals utilizing decision tree classifier. Eight features extracted from instantaneous information (amplitude and phase) and signal spectra are used to discriminate between eighteen signals (AM, FM, DSB, LSB, USB, VSB, combined (AM-FM), CW, Noise, MASK (2, 4 and 8), MPSK (2, 4 and 8) and MFSK (2, 4 and 8)) at low SNR. The simulation results show that the overall recognition rate can reach 99% when SNR= 7dB. This algorithm has small computation loads comparing with most of the existing algorithms.
引用
收藏
页码：32 / 36
页数：5
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