DocumentCode :
3430633
Title :
Demodulation-Oriented Automatic Modulation Identification Algorithm
Author :
Chen Qixing ; Zhou Guozhong
Author_Institution :
Grad. Sch. of the Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a novel automatic modulation identification (AMI) algorithm, named demodulation-oriented automatic modulation identification (DAMI) algorithm, in software radios. DAMI algorithm may identify each modulated signal with a subset rather than one-to-one scheme because any scheme of a subset can employ the same demodulation algorithm. Aiming at AM, SSB, DSB, FM, OOK, PSK, QPSK, FSK, MSK and GMSK, the developed algorithm was simulated in the AWGN, Rician and Rummler channel, respectively. Simulation results showed that on condition of SNR of 15 dB DAMI algorithm´s average running time decreased by 34.6% and its average correct identification rate increased by 7.0% at least in comparison with those of the ordinary automatic modulation identification (OAMI) algorithm. The DAMI algorithm takes on the main remarkable features of tolerable errors, and improved correct identification rate, and decreased identification time. Because of the software Radios´ specialties, DAMI algorithm is perfectly suitable for software radios.
Keywords :
AWGN channels; Rician channels; demodulation; modulation; software radio; AM; AWGN channel; DAMI algorithm; DSB; FM; FSK; GMSK; MSK; OOK; PSK; QPSK; Rician channel; Rummler channel; SSB; demodulation-oriented automatic modulation identification algorithm; modulated signal; software radios; AWGN; Ambient intelligence; Amplitude modulation; Demodulation; Frequency shift keying; Phase shift keying; Quadrature phase shift keying; Signal processing; Software algorithms; Software radio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.316
Filename :
4678225
Link To Document :
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