摘要
针对在卫星导航自适应调零天线研究领域中信号失配导致自适应计算性能下降和性能恶化的问题,提出了一种超高自由度的稳健调零算法。首先在SFAP框架下提出SYSTOLIC阵列在矢量不确定集约束下的实现方法,给出分析滤波器组与综合滤波器组的处理架构,分析了空时滤波器模型,通过理论分析得出矢量不确定集加载量的取值范围,实现空频宽带处理器SYSTOLIC阵列的最优权值求解过程。算法有效改善了空频自适应调零算法的输出信干噪比,仿真结果证明该算法对通道失配不敏感且收敛性能良好。
In the field of satellite navigation adaptive zero adjustment antenna,the degree of freedom of adaptive calculation can be increased,which can improve the interference suppression of the channel mismatch system. However,the signal mismatch leads to the decrease of adaptive computing performance,and the implementation method of SYSTOLIC array under the framework of vector uncertainty is proposed under SFAP framework. The processing architecture of the analysis filter group and the integrated filter bank is established,and the range of the load of the vector uncertainty set is obtained by theoretical analysis. The optimal weight solution process of the airborne broadband processor SYSTOLIC array is realized. The results of simulation show that the algorithm takes advantage of being insensitive to channel mismatch and good convergence performance.
引文
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