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作 者:雷圆圆 刘冰[1] LEI Yuanyuan;LIU Bing(Xi’an Electronic Engineering Research Institute,Xi’an 710100)
出 处:《火控雷达技术》2023年第3期63-68,共6页Fire Control Radar Technology
摘 要:针对多径干扰和非相干干扰以及噪声并存的复杂环境下传统广义旁瓣相消算法性能受限问题,本文提出了一种波束域稳健广义旁瓣相消技术。首先利用修正Toeplitz解相干算法对接收数据的协方差矩阵进行矩阵重构;然后采用一种简便的自适应波束空间变换方法将阵元域转至波束域,在减小运算量的同时并增强了稳健性;最后根据最差性能最优准则形成联合权矢量并基于特征结构思想建立了稳健广义旁瓣相消框架,避免了非理想因素所产生的性能损失,有效提高了算法的稳健性。仿真验证了所提算法在复杂环境下的有效性和稳健性。The performance of traditional generalized sidelobe cancellation algorithm is not satisfactory in complex environment where multipath interference,incoherent interference,and noise coexist.In this paper,a beam domain robust generalized sidelobe cancellation technique is proposed.Firstly,the modified Toeplitz decoherence algorithm is used to reconstruct the covariance matrix of the received data.Secondly,a simple adaptive beam space transformation method is used to transfer the received data from the array element domain to the beam domain,which reduces the computation burden and enhances the robustness.Finally,a joint weight vector is formed according to the worst performance optimization criterion and a robust generalized sidelobe cancellation framework is established based on the feature structure idea,which avoids the performance loss caused by non-ideal factors and effectively improves the robustness of the algorithm.The simulation results prove the effectiveness and robustness of the proposed algorithm in complex environment.
分 类 号:TN95[电子电信—信号与信息处理]
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