Zobrazeno 1 - 10
of 355
pro vyhledávání: '"Xiong Zha"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-18 (2023)
Abstract Blind receiver technologies for paired carrier multiple access (PCMA) signals have always been a challenging task with many technical difficulties, among which the estimation of modulation parameters is a fundamental but important element. D
Externí odkaz:
https://doaj.org/article/82c7f76b838b45b287fc5be9532ad4cd
Publikováno v:
Electronics Letters, Vol 57, Iss 20, Pp 785-787 (2021)
Abstract In practical applications, communication emitters are often carried by low orbit satellites aircraft, ships, and other moving carriers. Doppler phenomenon usually exists due to the relative motion between the emitter and the receiver, which
Externí odkaz:
https://doaj.org/article/840c5686a27f4b0e9bc50fcbbbd74aa8
Publikováno v:
Tongxin xuebao, Vol 40, Pp 30-37 (2019)
In order to identify the main modulation modes adopted in current satellite communication systems,a signal modulation recognition algorithm based on multi-inputs convolution neural network was proposed.With the prior information of the signals and kn
Externí odkaz:
https://doaj.org/article/11cc55e4670e452d99933491dc0f3548
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-13 (2019)
Abstract In massive MIMO-OFDM systems, channel estimation is a significant module which can be utilized to eliminate multipath interference. However, in realistic communication systems, carrier frequency offset (CFO), which often exists in receive en
Externí odkaz:
https://doaj.org/article/cdffdc85f37e49398df8525179459584
Publikováno v:
Sensors, Vol 22, Iss 17, p 6539 (2022)
Modulation recognition is the indispensable part of signal interception analysis, which has always been the research hotspot in the field of radio communication. With the increasing complexity of the electromagnetic spectrum environment, interference
Externí odkaz:
https://doaj.org/article/4a211ff6a2b54955bcacb008ef0e7ac6
Publikováno v:
Sensors, Vol 19, Iss 18, p 4042 (2019)
Deep learning (DL) is a powerful technique which has achieved great success in many applications. However, its usage in communication systems has not been well explored. This paper investigates algorithms for multi-signals detection and modulation cl
Externí odkaz:
https://doaj.org/article/f9e98fc34bfc4165ba4050333444d09a
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Communications Letters. 27:1170-1174
Publikováno v:
IEEE Signal Processing Letters. 30:70-74