科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
2期
191-193
,共3页
MIMO%中继发送端%盲辨识%算法
MIMO%中繼髮送耑%盲辨識%算法
MIMO%중계발송단%맹변식%산법
MIMO%relay transmitter%blind identification%algorithm
在大规模多输入多输出（MIMO）网络中，中继发送端和接受端之间的自干扰降低了网络系统信道容量，严重影响了系统的传输性能，为解决这一问题，需要对网络自干扰信号的盲辨识。提出一种基于线性叠加细节捕捉的网络自干扰盲辨识算法，构建网络中继发送端和接受端的自干扰产生与信号模型，设计全双工中继网络通信系统模型，进行MIMO网络数据交换控制，进一步采用线性叠加细节捕捉方法，构建前馈滤波器，对信号进行前置处理，提高滤波增益，设计线性叠加函数，实现干扰信号的细节特征捕捉，根据信息分配原则，实现网络自干扰盲辨识算法改进。仿真结果得出该算法的盲辨识云图能有效识别网络自干扰信号，并实现信道区分和干扰滤波处理，信号云图特征明显，能达到辨识信道和均衡信号的要求。信道容量和检测性能等指标优越于传统方法，展示了其有效性，具有较高应用价值。
在大規模多輸入多輸齣（MIMO）網絡中，中繼髮送耑和接受耑之間的自榦擾降低瞭網絡繫統信道容量，嚴重影響瞭繫統的傳輸性能，為解決這一問題，需要對網絡自榦擾信號的盲辨識。提齣一種基于線性疊加細節捕捉的網絡自榦擾盲辨識算法，構建網絡中繼髮送耑和接受耑的自榦擾產生與信號模型，設計全雙工中繼網絡通信繫統模型，進行MIMO網絡數據交換控製，進一步採用線性疊加細節捕捉方法，構建前饋濾波器，對信號進行前置處理，提高濾波增益，設計線性疊加函數，實現榦擾信號的細節特徵捕捉，根據信息分配原則，實現網絡自榦擾盲辨識算法改進。倣真結果得齣該算法的盲辨識雲圖能有效識彆網絡自榦擾信號，併實現信道區分和榦擾濾波處理，信號雲圖特徵明顯，能達到辨識信道和均衡信號的要求。信道容量和檢測性能等指標優越于傳統方法，展示瞭其有效性，具有較高應用價值。
재대규모다수입다수출（MIMO）망락중，중계발송단화접수단지간적자간우강저료망락계통신도용량，엄중영향료계통적전수성능，위해결저일문제，수요대망락자간우신호적맹변식。제출일충기우선성첩가세절포착적망락자간우맹변식산법，구건망락중계발송단화접수단적자간우산생여신호모형，설계전쌍공중계망락통신계통모형，진행MIMO망락수거교환공제，진일보채용선성첩가세절포착방법，구건전궤려파기，대신호진행전치처리，제고려파증익，설계선성첩가함수，실현간우신호적세절특정포착，근거신식분배원칙，실현망락자간우맹변식산법개진。방진결과득출해산법적맹변식운도능유효식별망락자간우신호，병실현신도구분화간우려파처리，신호운도특정명현，능체도변식신도화균형신호적요구。신도용량화검측성능등지표우월우전통방법，전시료기유효성，구유교고응용개치。
In a large multi input multi output (MIMO) relay networks, the sending and receiving ends between the self inter?ference reduces the capacity of the channel network system, it seriously affected the transmission performance of the sys?tem, in order to solve this problem, we need for blind identification of network self interference signal. A network self inter?ference blind identification algorithm is proposed based on linear superposition of detail capture, constructing the network relay and sending end and receiving end self interference generation and signal model, design of full duplex relay network communication system model, MIMO network data exchange control, further by linear superposition method construction details, the feed forward filter, deals with signal, and improve the filter gain, linear superposition function design, details capture features of the disturbance signal is realized, according to the information distribution principle, the self interfer?ence blind identification algorithm is improved. Simulation results show the algorithm of blind identification images can ef?fectively identify the network self interference signal, and realize the channel to distinguish and interference filter process?ing, signal nephogram characteristics obviously, it can achieve the channel identification and equalization signal require?ments. The channel capacity and the detection performance is superior to traditional methods, it has higher application val?ue.
