DocumentCode
117810
Title
FPGA implementation of automatic modulation recognition system for advanced SATCOM system
Author
Digdarsini, Durga ; Kumar, Manoj ; Khot, Gopichand ; Ram, T.V.S. ; Tank, V.K.
Author_Institution
Space Applic. Centre (SAC), Indian Space Res. Organ. (ISRO), Ahmedabad, India
fYear
2014
fDate
20-21 Feb. 2014
Firstpage
464
Lastpage
469
Abstract
Automatic identification of the digital modulation type of asignal has found applications in many areas, including software defined radio (SDR), surveillance and threat analysis. This paper describes the FPGA based implementation of Automatic Modulation Recognition (AMR) algorithm foradvanced communication payload. A wavelet transform based algorithm which involves multi-rate signal processing, is realizedto distinguish QAM, PSK and FSK digital modulation signal in noisy environment. The approach is to use wavelet transform to extract the transient characteristics ina digital modulation signal to identify the type of modulation. The optimum thresholds are derivedfrom rigorous simulation in MATLAB/Simulinkunder the condition that the input noise is Additive WhiteGaussian (AWGN). The performance of the identification schemeis investigated through simulations. The design is implemented and tested in Xilinx Virtex-4 FPGA based card.
Keywords
AWGN; field programmable gate arrays; frequency shift keying; phase shift keying; quadrature amplitude modulation; satellite communication; software radio; wavelet transforms; AMR algorithm; AWGN; FPGA implementation; FSK digital modulation signal; MATLAB/Simulink; PSK digital modulation signal; QAM digital modulation signal; SDR; Xilinx Virtex-4 FPGA; additive white Gaussian; advanced SATCOM system; automatic identification; automatic modulation recognition system; digital modulation type; multirate signal processing; noisy environment; software defined radio; wavelet transform; Discrete wavelet transforms; Frequency shift keying; Phase shift keying; Quadrature amplitude modulation; Signal to noise ratio; AMR; AWGN; FPGA; FSK; Multi-Rate signal Processing; PSK; QAM; SDR; Wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Integrated Networks (SPIN), 2014 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-2865-1
Type
conf
DOI
10.1109/SPIN.2014.6776998
Filename
6776998
Link To Document