摘要
随着通信系统的不断发展完善,非协作通信需求在民用和军事领域内不断增加,大规模阵列因具有独特优势而得到广泛应用。庞大的天线数量导致系统复杂度和工程实现难度急剧升高,降低信号处理的实现难度具有重要意义。有鉴于此,提出了一种非协作通信场景下基于子阵方向图综合的信号分离方法,利用子空间算法完成盲信道参数的估计,通过迫零计算求解出符合要求的系数矩阵完成方向图的综合,实现信号的分离和干扰的抑制,同时可以完成幅相误差的校正。仿真结果证明了非协作通信过程中该方法实现信号分离的可行性和有效性。
With the continuous development of communication systems,the demand for non-cooper-ative communication continues to increase in the civil and military fields.Large-scale arrays are widely used due to their unique advantages.The large number of antennas leads to a sharp increase in computational complexity and thus it is necessary to reduce the complexity of signal processing.Therefore,this paper proposes a signal separation method based on sub-array pattern synthesis in non-cooperative communication scenarios.The subspace algorithm is used to estimate the blind channel parameters,and the synthesis of the pattern and coefficient matrix that meets the require-ments is accomplished through zero-forcing calculation,thus realizing signal separation,interference suppression,and amplitude and phase errors correction.Simulation results demonstrate the feasibili-ty and effectiveness of this method to achieve signal separation in non-cooperative communication.
作者
刘承周
王建辉
崔维嘉
巴斌
李浩
LIU Chengzhou;WANG Jianhui;CUI Weijia;BA Bin;LI Hao(Information Engineering University,Zhengzhou 450001,China)
出处
《信息工程大学学报》
2023年第3期279-286,共8页
Journal of Information Engineering University
基金
国家自然科学基金面上资助项目(62171468)。
关键词
非协作通信
盲信道估计
幅相误差校正
信号分离
non-cooperative communication
blind channel estimation
amplitude and phase error correction
signal separation
作者简介
刘承周(1993-),男,硕士生,主要研究方向为阵列信号处理。
