5G baseband signal processing places greater real-time and reliability requirements on hardware.Based on the architecture of the MaPU,a reconfigurable computing architecture is proposed according to the characteristic...5G baseband signal processing places greater real-time and reliability requirements on hardware.Based on the architecture of the MaPU,a reconfigurable computing architecture is proposed according to the characteristics of the 5G baseband signal processing.A dedicated instruction set for 5G baseband signal processing is proposed.The corresponding functional units are designed for reuse of hardware resources.A redirected register file is proposed to address latency and power consumption issues in internetwork.A two-dimensional code compression scheme is proposed for cases in which the use ratio of instruction memory is low.The access mode of the data memory is extended,the performance is improved and the power consumption is reduced.The throughput of 5G baseband processing algorithm is one to two orders of magnitude higher than that of the TMS320C6670 with less power consumption.The silicon area evaluated by layout is 5.8 mm2,which is 1/6 of the MaPU’s.The average power consumption is 0.7 W,which is 1/5 of the MaPU’s.展开更多
Compressive sensing（CS） has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the constructi...Compressive sensing（CS） has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the construction of measurement matrix or sensing matrix.A new deterministic sensing matrix,named as OOC-B,is proposed by exploiting optical orthogonal codes（OOCs）,Bernoulli matrix and Singer structure,which has the entries of 0,＋1 and-1 before normalization.We have proven that the designed deterministic matrix is asymptotically optimal.In addition,the proposed deterministic sensing matrix is applied to direction of arrival（DOA） estimation of narrowband signals by CS arrays（CSA）processing and CS recovery.Theoretical analysis and simulation results show that the proposed sensing matrix has good performance for DOA estimation.It is very effective for simplifying hardware structure and decreasing computational complexity in DOA estimation by CSA processing.Besides,lower root mean square error（RMSE） and bias are obtained in DOA estimation by CS recovery.展开更多
基金Project(XDA-06010402)supported by the Strategic Priority Research Program of Chinese Academy of SciencesProject(Y5S7061G51)supported by the Youth Innovation Promotion Association of Chinese Academy of Sciences
文摘5G baseband signal processing places greater real-time and reliability requirements on hardware.Based on the architecture of the MaPU,a reconfigurable computing architecture is proposed according to the characteristics of the 5G baseband signal processing.A dedicated instruction set for 5G baseband signal processing is proposed.The corresponding functional units are designed for reuse of hardware resources.A redirected register file is proposed to address latency and power consumption issues in internetwork.A two-dimensional code compression scheme is proposed for cases in which the use ratio of instruction memory is low.The access mode of the data memory is extended,the performance is improved and the power consumption is reduced.The throughput of 5G baseband processing algorithm is one to two orders of magnitude higher than that of the TMS320C6670 with less power consumption.The silicon area evaluated by layout is 5.8 mm2,which is 1/6 of the MaPU’s.The average power consumption is 0.7 W,which is 1/5 of the MaPU’s.
基金supported by the National Natural Science Foundation of China(6117119761371045+2 种基金61201307)the Shandong Provincial Promotive Research Fund for Excellent Young and Middle-aged Scientists(BS2010DX001)the Shandong Provincial Natural Science Foundation (ZR2011FM005)
文摘Compressive sensing（CS） has emerged as a novel sampling framework which enables sparse signal acquisition and reconstruction with fewer measurements below the Nyquist rate.An important issue for CS is the construction of measurement matrix or sensing matrix.A new deterministic sensing matrix,named as OOC-B,is proposed by exploiting optical orthogonal codes（OOCs）,Bernoulli matrix and Singer structure,which has the entries of 0,＋1 and-1 before normalization.We have proven that the designed deterministic matrix is asymptotically optimal.In addition,the proposed deterministic sensing matrix is applied to direction of arrival（DOA） estimation of narrowband signals by CS arrays（CSA）processing and CS recovery.Theoretical analysis and simulation results show that the proposed sensing matrix has good performance for DOA estimation.It is very effective for simplifying hardware structure and decreasing computational complexity in DOA estimation by CSA processing.Besides,lower root mean square error（RMSE） and bias are obtained in DOA estimation by CS recovery.
