Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310045024> ?p ?o ?g. }
- W4310045024 endingPage "12052" @default.
- W4310045024 startingPage "12052" @default.
- W4310045024 abstract "With the continuous development of communication technology, the wireless communication environment becomes more and more complex with various intentional and unintentional signals. Radio signals are modulated in different ways. The traditional radio modulation recognition technology cannot recognize the modulation modes accurately. Consequently, the communication system has embraced Deep Learning (DL) models as they can automatically recognize the modulation modes and have better accuracy. This paper systematically summarizes the related contents of radio Automatic Modulation Recognition (AMR) based on DL over the last seven years. First, we summarize the current research status of modulation recognition and the necessity of AMR research based on DL. Then, we review current radio AMR methods based on DL. In addition, we also propose a network model of AMR based on Convolutional Neural Network (CNN) and prove its effectiveness. Finally, we highlight existing challenges and research directions of radio AMR based on DL." @default.
- W4310045024 created "2022-11-30" @default.
- W4310045024 creator A5004845860 @default.
- W4310045024 creator A5022889808 @default.
- W4310045024 creator A5025256338 @default.
- W4310045024 creator A5047904557 @default.
- W4310045024 creator A5053015192 @default.
- W4310045024 creator A5068101221 @default.
- W4310045024 date "2022-11-25" @default.
- W4310045024 modified "2023-10-06" @default.
- W4310045024 title "A Survey of Applications of Deep Learning in Radio Signal Modulation Recognition" @default.
- W4310045024 cites W1600744878 @default.
- W4310045024 cites W1968929698 @default.
- W4310045024 cites W2002643600 @default.
- W4310045024 cites W2005956500 @default.
- W4310045024 cites W2064675550 @default.
- W4310045024 cites W2097117768 @default.
- W4310045024 cites W2112796928 @default.
- W4310045024 cites W2114267371 @default.
- W4310045024 cites W2136922672 @default.
- W4310045024 cites W2139212315 @default.
- W4310045024 cites W2147735901 @default.
- W4310045024 cites W2150355110 @default.
- W4310045024 cites W2157331557 @default.
- W4310045024 cites W2168078104 @default.
- W4310045024 cites W2170393096 @default.
- W4310045024 cites W2194775991 @default.
- W4310045024 cites W2294292751 @default.
- W4310045024 cites W2345079809 @default.
- W4310045024 cites W2484071415 @default.
- W4310045024 cites W2529248927 @default.
- W4310045024 cites W2538236225 @default.
- W4310045024 cites W2560036562 @default.
- W4310045024 cites W2564488710 @default.
- W4310045024 cites W2573137456 @default.
- W4310045024 cites W2580817561 @default.
- W4310045024 cites W2586095846 @default.
- W4310045024 cites W2591005920 @default.
- W4310045024 cites W2591940486 @default.
- W4310045024 cites W2595194816 @default.
- W4310045024 cites W2603396821 @default.
- W4310045024 cites W2616108305 @default.
- W4310045024 cites W2618530766 @default.
- W4310045024 cites W2624887404 @default.
- W4310045024 cites W2683165743 @default.
- W4310045024 cites W2735872091 @default.
- W4310045024 cites W2742452686 @default.
- W4310045024 cites W2759157837 @default.
- W4310045024 cites W2773170971 @default.
- W4310045024 cites W2775383661 @default.
- W4310045024 cites W2784064571 @default.
- W4310045024 cites W2790688030 @default.
- W4310045024 cites W2795250928 @default.
- W4310045024 cites W2804980870 @default.
- W4310045024 cites W2810058881 @default.
- W4310045024 cites W2888848736 @default.
- W4310045024 cites W2904055197 @default.
- W4310045024 cites W2907204409 @default.
- W4310045024 cites W2908583291 @default.
- W4310045024 cites W2909427540 @default.
- W4310045024 cites W2910123878 @default.
- W4310045024 cites W2912683069 @default.
- W4310045024 cites W2916238263 @default.
- W4310045024 cites W2919115771 @default.
- W4310045024 cites W2920033744 @default.
- W4310045024 cites W2935821188 @default.
- W4310045024 cites W2944826990 @default.
- W4310045024 cites W2944891925 @default.
- W4310045024 cites W2952722236 @default.
- W4310045024 cites W2961742849 @default.
- W4310045024 cites W2962949934 @default.
- W4310045024 cites W2963446712 @default.
- W4310045024 cites W2963809753 @default.
- W4310045024 cites W2967532333 @default.
- W4310045024 cites W2969801800 @default.
- W4310045024 cites W2972762411 @default.
- W4310045024 cites W2983220838 @default.
- W4310045024 cites W2997541400 @default.
- W4310045024 cites W2999466041 @default.
- W4310045024 cites W3015219268 @default.
- W4310045024 cites W3022311971 @default.
- W4310045024 cites W3104028856 @default.
- W4310045024 cites W3109354406 @default.
- W4310045024 cites W3126877825 @default.
- W4310045024 cites W3153332423 @default.
- W4310045024 cites W3160024890 @default.
- W4310045024 cites W3180246748 @default.
- W4310045024 cites W3201257617 @default.
- W4310045024 cites W3202901858 @default.
- W4310045024 cites W3209619335 @default.
- W4310045024 cites W4205137151 @default.
- W4310045024 cites W4205789684 @default.
- W4310045024 cites W4206602217 @default.
- W4310045024 cites W4206794970 @default.
- W4310045024 cites W4210557982 @default.
- W4310045024 cites W4220657966 @default.
- W4310045024 cites W4229333007 @default.
- W4310045024 cites W4232120769 @default.