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解放军理工大学 通信工程学院,江苏 南京 210007
[ "郭艳(1971-),女,陕西西安人,博士,解放军理工大学教授、博士生导师,主要研究方向为波束形成、自适应信号处理、MIMO、无线认知网络。" ]
[ "朱方军(1986-),男,安徽安庆人,解放军理工大学硕士生,主要研究方向为波束形成和自适应信号处理。" ]
[ "李宁(1967-),男,上海人,解放军理工大学副教授、硕士生导师,主要研究方向为ad hoc网络、自适应信号处理、无线认知网络。" ]
[ "原晓云(1990-),女,河南安阳人,解放军理工大学硕士生,主要研究方向为波束形成和自适应信号处理。" ]
网络出版日期:2015-03,
纸质出版日期:2015-03-25
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郭艳, 朱方军, 李宁, 等. MIMO认知无线电网络中的联合收发波束形成算法研究[J]. 通信学报, 2015,36(3):115-123.
Yan GUO, Fang-jun ZHU, Ning LI, et al. Joint transceiver beamforming in MIMO cognitive radio network[J]. Journal of communications, 2015, 36(3): 115-123.
郭艳, 朱方军, 李宁, 等. MIMO认知无线电网络中的联合收发波束形成算法研究[J]. 通信学报, 2015,36(3):115-123. DOI: 10.11959/j.issn.1000-436x.2015065.
Yan GUO, Fang-jun ZHU, Ning LI, et al. Joint transceiver beamforming in MIMO cognitive radio network[J]. Journal of communications, 2015, 36(3): 115-123. DOI: 10.11959/j.issn.1000-436x.2015065.
利用半正定规划和最小均方误差准则,提出了一种最小化发射功率的MIMO认知波束形成算法,与已有对偶算法相比,降低了发射功率,提高了系统性能。此外,还提出了SINR均衡的波束形成算法,解决了MIMO认知网络中认知用户的均衡通信问题。数值仿真结果表明,新算法在避免对主用户造成干扰的同时,能保证每一个用户的通信质量,均衡SINR水平得到了大幅提升。
An iterative SDP-MMSE algorithm based on semidefinite programs (SDP) and minimum mean squared error (MMSE) was introduced to minimize the total transmit power. And a further approach on the max-min fairness beam-forming was presented. Simulation results demonstrate that proposed algorithms have superior performance in terms of total transmitted power and signal-to-interference plus noise ratio (SINR) as compared to the existing ones.
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