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A-Novel-Pilot-Decontamination

于 2018-05-03 发布 文件大小:624KB
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代码说明：

  We have proposed a novel pilot decontamination scheme which combines the two existing schemes: SPRS and WGC-PD scheme.

文件列表：

A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master, 0 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\CDF_versus_C.m, 10643 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\CDF_versus_R.m, 9636 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\CDF_versus_SINR.m, 6962 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\C_versus_M.m, 6573 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\C_versus_RHO.m, 7008 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\F_CS_SOFT.m, 1064 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\F_DLSINR_CAL.m, 2023 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\F_H_Generate.m, 3694 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\F_ULSINR_CAL.m, 1897 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\F_WGCPA_Pilot.m, 2658 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\F_WGCPA_Pilot_IM.m, 3589 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\F_WGCPA_soft_Pilot.m, 3902 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\README.md, 1370 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\R_versus_M.m, 6798 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\R_versus_RHO.m, 7453 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\cell_topology.m, 2737 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\cirliu.m, 410 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\eng_fig_CDF_C.fig, 26472 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\eng_fig_CDF_SINR.fig, 25421 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\eng_fig_C_M.fig, 24708 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\eng_fig_C_rho.fig, 24067 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\fig1.fig, 479189 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\fig_CDF_R.fig, 12104 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\fig_CDF_SINR.fig, 12007 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\fig_C_M_NEW.fig, 10885 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\fig_C_rho.fig, 10980 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\fig_R_M_NEM.fig, 10897 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\fig_R_rho.fig, 11061 , 2018-01-13
A-Novel-Pilot-Decontamination-Scheme-for-Massive-MIMO-Systems-master\qunliu.m, 1022 , 2018-01-13

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    说明：  对当前通信信号中常用的数字调相信号BPSK、QPSK、1／4一QPSK、8PSK的调制识别问题，提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别，首先利用信号的四阶累积量特征对BPSK、QPSK和{1／4一QPSK、8PSK}信号进行识别，然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性，并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)
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