| 224 | 2 | 242 |
| 下载次数 | 被引频次 | 阅读次数 |
为了提升星地链路通信系统频谱效率，针对毫米波(millimeter Wave, mmWave)大规模多输入多输出(Massive Multiple Input Multiple Output, Massive MIMO)系统，在正交匹配追踪(Orthogonal Matching Pursuit, OMP)算法的基础上，提出了一种改进的OMP (Improved-OMP)混合预编码算法。针对星地链路间通信的特定场景，引入了基于扩展的Saleh-Valenzuela (S-V)信道模型；针对OMP算法中求解模拟预编码矩阵时存在迭代次数过多的问题，在结合多步长思想的基础上，从天线阵列响应集合中选取与射频链路(Radio Frequency Chains, RF Chains)相等的前多列作为模拟预编码矩阵；为了克服OMP算法中的伪逆运算复杂度较高的问题，结合矩阵分解和H9lder不等式简化了数字预编码的求解。仿真结果表明，在理想的信道状态信道条件下，当RF Chains的数量和数据流的数量之间的差距较小时，Improved-OMP算法可以获得更优的性能。Improved-OMP方案有效地降低了计算复杂度。
Abstract：To improve the spectral efficiency of the satellite-terrestrial links in satellite communication system, an Improved-OMP hybrid precoding algorithm based on the Orthogonal Matching Pursuit(OMP) algorithm is proposed for millimeter Wave(mmWave) Massive Multiple Input Multiple Output(Massive MIMO) systems. Firstly, an extended Saleh-Valenzuela(S-V) channel model is introduced for the specific scenario of communication between satellite and terrestrial links. Secondly, in order to avoid excessive iterations when solving the analog precoding matrix in OMP, on the basis of the multi-step length, analog precoding matrix is obtained by extracting from the array response set's optimal columns equaling to the number of RF chains. In addition, in order to reduce the high complexity of the inversion operations in the OMP algorithm, matrix decomposition and H9lder inequality are combined to simplify the acquisition of digital precoding. Under the ideal channel state conditions, the simulation results demonstrate that the Improved-OMP algorithm can achieve better performance when the gap between the number of RF chains and the number of data streams is small. Furthermore, the Improved-OMP scheme effectively reduces the computational complexity.
[1] ZHAO B K,FEI C J,MAO X L,et al.Networking in Space Terrestrial Integrated Networks[C]//2019 18th International Conference on Optical Communications and Networks (ICOCN).Huangshan:IEEE,2019:1-3.
[2] LIU J J,SHI Y P,FADLULLAH Z M,et al.Space-Air-Ground Integrated Network:A Survey[J].IEEE Communications Surveys & Tutorials,2018,20(4):2714-2741.
[3] 李忻，黄绣江，聂在平.MIMO无线传输技术综述[J].无线电工程，2006,36(8):42-47.
[4] HOYDIS J,BRINK S T,DEBBAH M.Massive MIMO in the UL/DL of Cellular Networks:How Many Antennas Do We Need?[J].IEEE Journal on Selected Areas in Communications,2013,31(2):160-171.
[5] AHMED I,KHAMMARI H,SHAHID A,et al.A Survey on Hybrid Beamforming Techniques in 5G:Architecture and System Model Perspectives[J].IEEE Communications Surveys & Tutorials,2018,20(4):3060-3097.
[6] MORSALI A,NOROUZI S,CHAMPAGNEB.Single RF Chain Hybrid Analog/Digital Beamforming for mmWave Massive-MIMO[C]//2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP).Ottawa:IEEE,2019:1-5.
[7] WANG S G,LI L F,RUBY R,et al.A General Hybrid Precoding Scheme for Millimeter Wave Massive MIMO Systems[J].Wireless Networks,2020,26(2):1331-1345.
[8] AYACH E O,RAJAGOPAL S,ABU-SURRA S,et al.Spatially Sparse Precoding in Millimeter Wave MIMO Systems[J].IEEE Transactions on Wireless Communications,2014,13(3):1499-1513.
[9] LIU X R,LI X M,CAO S,et al.Hybrid Precoding for Massive mmWave MIMO Systems[J].IEEE Access,2019,7:33577-33586.
[10] XIE T,DAI L,GAO X Y,et al.Geometric Mean Decomposition Based Hybrid Precoding for millimeter-Wave Massive MIMO[J].China Communications,2018,15(5):229-238.
[11] SOHRABI F,YU W.Hybrid Digital and Analog Beamforming Design for Large-scale Antenna Arrays[J].IEEE Journal of Selected Topics in Signal Processing,2016,10(3):501-513.
[12] YU X H,SHEN J C,ZHANG J,et al.Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems[J].IEEE Journal of Selected Topics in Signal Processing,2016,10(3):485-500.
[13] 徐常志，靳一，李立，等.面向6G的星地融合无线传输技术[J].电子与信息学报，2021,43(1):28-36.
[14] ARORA A,TSINOS C G,SHANKAR B,et al.Hybrid Analog-Digital Precoding Design for Satellite Systems[C]//Advances in Communications Satellite Systems.Proceedings of the 37th International Communications Satellite Systems Conference (ICSSC-2019).Okinawa:IEEE,2019:1-13.
[15] 李靖，王金海，刘彦刚，等.卫星通信中相控阵天线的应用及展望[J].无线电工程，2019,49(12):1076-1084.
[16] 胡荣，李秀梅，邓娟，等.基于混合波束赋形的低轨通信卫星相控阵天线架构研究[J].天地一体化信息网络，2021,2(2):90-97.
[17] YOU L,QIANG X Y,LI K X,et al.Hybrid Analog/Digital Precoding for Downlink Massive MIMO LEO Satellite Communications[J].IEEE Transactions on Wireless Communications,2022,21(8):5962-5976.
[18] PENG D Y,LI Y,CHATZINOTAS S,et al.Hybrid Analog-Digital Precoding for mmWave Coexisting in 5G-satellite Integrated Network[C]//2020 IEEE 31st Annual International Symposium on Personal,Indoor and Mobile Radio Communications.London:IEEE,2020:1-6.
[19] MYSORE B S,LAGUNAS E,CHATZINOTASS,et al.Precoding for Satellite Communications:Why,How and What Next?[J].IEEE Communications Letters,2021,25(8):2453-2457.
[20] 陈强，王田，薛仁魁，等.基于数字波束形成技术的北斗抗干扰终端研究[J].无线电工程，2023,53(5):1093-1101.
[21] RAPPAPORT T S,HEATH JR R W,DANIELSR C,et al.Millimeter Wave Wireless Communications[M].[S.l.]:Pearson Education,2015.
[22] XU H,KUKSHYA V,RAPPAPORT T S.Spatial and Temporal Characteristics of 60-GHz Indoor Channels[J].IEEE Journal on Selected Areas in Communications,2002,20(3):620-630.
[23] FORENZA A,LOVE D J,HEATH R W.Simplified Spatial Correlation Models for Clustered MIMO Channels with Different Array Configurations[J].IEEE Transactions on Vehicular Technology,2007,56(4):1924-1934.
基本信息:
中图分类号:TN929.5
引用信息:
[1]胡家荣,李伊陶,熊兴中.星地链路中基于毫米波大规模MIMO的混合预编码算法研究[J].无线电工程,2024,54(05):1063-1073.
基金信息:
四川省科技厅项目(2023NSFSC1987); 人工智能四川省重点实验室开放基金(2021RZJ01); 四川轻化工大学研究生创新基金(Y2021055)~~
2023-08-17
2023-08-17
2023-08-17