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;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on