An Adaptive Transmission Scheme for Deep Space Communication
|
摘要
Deep space communication is quite different from conventional ground communication due to its time-varying,complexity and large signal delay,which consequently affects communication quality and system efficiency.Adjusting the transmission parameters when the channel environment changes during the communication can guarantee the performance index of the system,and therefore improve communication efficiency. An adaptive transmission scheme of transceiver based on Consultative Committee for Space Data Systems(CCSDS)protocols is proposed in this paper. According to the variation of the deep space channel,the symbol rate of transmission data is adjusted dynamically by estimating the signal-to-noise ratio(SNR) of the receiver in real time and adjusting the channel environment. This scheme can improve the channel utilization and system throughput under the premise of limiting the system bit error rate. Furthermore,this scheme is successfully implemented in Xilinx Virtex-5 FPGA board.
Deep space communication is quite different from conventional ground communication due to its time-varying,complexity and large signal delay,which consequently affects communication quality and system efficiency.Adjusting the transmission parameters when the channel environment changes during the communication can guarantee the performance index of the system,and therefore improve communication efficiency. An adaptive transmission scheme of transceiver based on Consultative Committee for Space Data Systems(CCSDS)protocols is proposed in this paper. According to the variation of the deep space channel,the symbol rate of transmission data is adjusted dynamically by estimating the signal-to-noise ratio(SNR) of the receiver in real time and adjusting the channel environment. This scheme can improve the channel utilization and system throughput under the premise of limiting the system bit error rate. Furthermore,this scheme is successfully implemented in Xilinx Virtex-5 FPGA board.
Deep space communication is quite different from conventional ground communication due to its time-varying,complexity and large signal delay,which consequently affects communication quality and system efficiency.Adjusting the transmission parameters when the channel environment changes during the communication can guarantee the performance index of the system,and therefore improve communication efficiency. An adaptive transmission scheme of transceiver based on Consultative Committee for Space Data Systems(CCSDS)protocols is proposed in this paper. According to the variation of the deep space channel,the symbol rate of transmission data is adjusted dynamically by estimating the signal-to-noise ratio(SNR) of the receiver in real time and adjusting the channel environment. This scheme can improve the channel utilization and system throughput under the premise of limiting the system bit error rate. Furthermore,this scheme is successfully implemented in Xilinx Virtex-5 FPGA board.
引文
[1]LIU Y,FU Y,LIU T.A flow control scheme for a CCSDS high-speed communication processor[C]//International Conference on Mechatronic Sciences.[S.l.]:IEEE,2014.
[2]Consultative Committee for Space Data Systems.CC-SDS 211.0-B-5,Proximity-1 space link protocol physical layer recommendation for space data system standards[S].Reston,VA:Blue Book,2013.
[3]Consultative Committee for Space Data Systems.CC-SDS 211.1-B-4,Proximity-1 space link protocol data link layer recommendation for space data system standards[S].Reston,VA:Blue Book,2013.
[4]Consultative Committee for Space Data Systems.CC-SDS 211.2-B-2,Proximity-1 space link protocol coding and synchronization sublayer recommendation for space data system standards[S].Reston,VA:Blue Book,2013.
[5]ZHANG G M,REN J C,LüG M.Adaptive transmission scheme with modifying PU2RC for downlink mu-MIMO systems[J].Journal of Data Acquisition and Processing,2017,32(3):497-506.
[6]CIONI S,DE GAUDENZI R,RINALDO R.Channel estimation and physical layer adaptation techniques for satellite networks exploiting adaptive coding and modulation[J].International Journal of Satellite Communications and Networking,2008,26(2):157-188.
[7]WU J L,HOU X L,YIN C C.Variable packet size adaptive modulation SR-ARQ scheme for Rayleigh fading channels[C]//IEEE International Symposium on Personal,Indoor and Mobile Radio Communications.[S.l.]:IEEE,2004:1283-1286.
[8]SHOU Y M.A comparison of fixed and variable-rate signaling for meteor burst communications[J].IEEETrans on Commu,1994,42(2/3/4):211-215.
[9]JACOBSMEYER J M.An adaptive modulation scheme for bandwidth-limited meteor-burst channels[C]//Military communications Conference,MIL-COM′88.San Diego,USA:IEEE,1988:933-937.
[10]MAHMUD K,MUKUMOTO K,FUKUDA A.Abandwidth efficient variable transmission scheme for meteor burst communications[J].IEICE Trans on Commu,2001,84(11):2956-2966.
[11]JABRI A K A,ALSHAHRANI A.Adaptive-rate transmission with coding and interleaving for a further improvement in the throughput of meteor-burst communications systems[C]//IEEE Military Communications Conference.Boston,USA:IEEE,1988:391-396.
[12]LIU Z.Design and simulation of adaptive technology to improve meteor trail communication communication throughput[D].Chengdu:University of Electronic Science and Technology,2013.(in Chinese)
[13]SONG Li,WANG Chenghua,ZHU Qiuming,et al.Design and implementation of adaptive transmission scheme based on CCSDS protocol[J].Aviation weapon,2017(1):83-88.
[14]JU X B.Research and implementation of key technologies for adaptive transmission of adjacent space based on FPGA[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2015.
[15]REN G,CHANG Y,ZHANG H.A new SNR′s estimator for QPSK modulations in an AWGN channel[J].IEEE Transactions on Circuits&Systems II Express Briefs,2005,52(6):336-338.
[16]TARA S,BADAWY A,ELFOULY T M,et al.Non-data-aided SNR estimation for QPSK modulation in AWGN channel[C]//IEEE International Conference on Wireless&Mobile Computing.[S.l.]:IEEE,2014.
[17]GILCHRIEST C E.Signal-to-noise monitoring[J].JPL Space Programs Summary,1966,4(27):169-184.
[18]XU H,LI Z,ZHENG H.A non-data-aided SNR estimation algorithm for QAM signals[C]//International Conference on Communications.[S.l.]:IEEE,2004.
[2]Consultative Committee for Space Data Systems.CC-SDS 211.0-B-5,Proximity-1 space link protocol physical layer recommendation for space data system standards[S].Reston,VA:Blue Book,2013.
[3]Consultative Committee for Space Data Systems.CC-SDS 211.1-B-4,Proximity-1 space link protocol data link layer recommendation for space data system standards[S].Reston,VA:Blue Book,2013.
[4]Consultative Committee for Space Data Systems.CC-SDS 211.2-B-2,Proximity-1 space link protocol coding and synchronization sublayer recommendation for space data system standards[S].Reston,VA:Blue Book,2013.
[5]ZHANG G M,REN J C,LüG M.Adaptive transmission scheme with modifying PU2RC for downlink mu-MIMO systems[J].Journal of Data Acquisition and Processing,2017,32(3):497-506.
[6]CIONI S,DE GAUDENZI R,RINALDO R.Channel estimation and physical layer adaptation techniques for satellite networks exploiting adaptive coding and modulation[J].International Journal of Satellite Communications and Networking,2008,26(2):157-188.
[7]WU J L,HOU X L,YIN C C.Variable packet size adaptive modulation SR-ARQ scheme for Rayleigh fading channels[C]//IEEE International Symposium on Personal,Indoor and Mobile Radio Communications.[S.l.]:IEEE,2004:1283-1286.
[8]SHOU Y M.A comparison of fixed and variable-rate signaling for meteor burst communications[J].IEEETrans on Commu,1994,42(2/3/4):211-215.
[9]JACOBSMEYER J M.An adaptive modulation scheme for bandwidth-limited meteor-burst channels[C]//Military communications Conference,MIL-COM′88.San Diego,USA:IEEE,1988:933-937.
[10]MAHMUD K,MUKUMOTO K,FUKUDA A.Abandwidth efficient variable transmission scheme for meteor burst communications[J].IEICE Trans on Commu,2001,84(11):2956-2966.
[11]JABRI A K A,ALSHAHRANI A.Adaptive-rate transmission with coding and interleaving for a further improvement in the throughput of meteor-burst communications systems[C]//IEEE Military Communications Conference.Boston,USA:IEEE,1988:391-396.
[12]LIU Z.Design and simulation of adaptive technology to improve meteor trail communication communication throughput[D].Chengdu:University of Electronic Science and Technology,2013.(in Chinese)
[13]SONG Li,WANG Chenghua,ZHU Qiuming,et al.Design and implementation of adaptive transmission scheme based on CCSDS protocol[J].Aviation weapon,2017(1):83-88.
[14]JU X B.Research and implementation of key technologies for adaptive transmission of adjacent space based on FPGA[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2015.
[15]REN G,CHANG Y,ZHANG H.A new SNR′s estimator for QPSK modulations in an AWGN channel[J].IEEE Transactions on Circuits&Systems II Express Briefs,2005,52(6):336-338.
[16]TARA S,BADAWY A,ELFOULY T M,et al.Non-data-aided SNR estimation for QPSK modulation in AWGN channel[C]//IEEE International Conference on Wireless&Mobile Computing.[S.l.]:IEEE,2014.
[17]GILCHRIEST C E.Signal-to-noise monitoring[J].JPL Space Programs Summary,1966,4(27):169-184.
[18]XU H,LI Z,ZHENG H.A non-data-aided SNR estimation algorithm for QAM signals[C]//International Conference on Communications.[S.l.]:IEEE,2004.