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A adaptive beamforming design in low sample number conditions based on diagonal loading algorithm

机译:基于对角线加载算法的低样本量条件下的自适应波束形成设计

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摘要

Under the condition of low sample, how to improve the robustness of adaptive beamforming algorithm is a key problem in engineering application. This article first introduces the minimum variance distrtionless response. On the basis, the algorithm of diagonal loading has been researched and how to select the optimal loading value in the practical application has been emphatically analyzed. Finally, the simulation based on certain array receiving system has verified the correctness of the algorithm.
机译:在低样本量的情况下,如何提高自适应波束形成算法的鲁棒性是工程应用中的关键问题。本文首先介绍了最小方差无分配响应。在此基础上,研究了对角加载算法,并着重分析了如何在实际应用中选择最佳加载值。最后,基于特定阵列接收系统的仿真验证了算法的正确性。

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