Modified Iterative Robust Beamforming Algorithm

JIN Wei; ZHAO Jian-xun; ZHANG Feng-gan; JIA Wei-min; YAO Min-li

doi:10.3969/j.issn.0372-2112.2017.12.003

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Modified Iterative Robust Beamforming Algorithm

更新时间：2025-07-16

- Modified Iterative Robust Beamforming Algorithm
- Acta Electronica Sinica Vol. 45, Issue 12, Pages: 2842-2847(2017)
- 作者机构：
  
  1. 火箭军工程大学初级指挥学院,陕西,西安,710025
  2. 火箭军工程大学信息工程系,陕西,西安,710025
  3. 火箭军工程大学初级指挥学院,陕西,西安,710025
  4. 火箭军工程大学信息工程系,陕西,西安,710025
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61179004)
- DOI：10.3969/j.issn.0372-2112.2017.12.003
  CLC： TN911.7
- Published Online：25 December 2017，
  
  Published：2017
- 稿件说明：
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JIN Wei, ZHAO Jian-xun, ZHANG Feng-gan, et al. Modified Iterative Robust Beamforming Algorithm[J]. Acta Electronica Sinica, 2017, 45(12): 2842-2847.
DOI：

JIN Wei, ZHAO Jian-xun, ZHANG Feng-gan, et al. Modified Iterative Robust Beamforming Algorithm[J]. Acta Electronica Sinica, 2017, 45(12): 2842-2847. DOI： 10.3969/j.issn.0372-2112.2017.12.003.

摘要

为有效克服模型失配误差对自适应波束形成器的影响，该文提出了一种改进的迭代型鲁棒波束形成算法.该算法以导向矢量在期望信号来波方向区间宽度内、外的积分关系式构造新的终止条件，克服了迭代对角加载算法对终止条件参数鲁棒性不强的问题，从而进一步提高了波束形成器的输出信干噪比.仿真实验表明，提出的算法可以有效克服不同类型的模型失配误差带来的影响，能够处理较大范围的方向失配误差，且对算法中的来波方向区间宽度这一关键参数设置具有较强的鲁棒性.

Abstract

To effectively overcome the influence of model mismatch on the performance of adaptive beamformer

a modified iterative robust adaptive beamformer is proposed.Based on the integration of steering vector within or without the angular sector of desired signal's direction of arrival (DOA)

a new stopping criterion is constructed in the proposed algorithm.Using the new stopping criterion

the weak robustness against stopping criterion parameter in iterative diagonally loaded sample matrix inverse (ILSMI) robust adaptive beamformer is strengthened

and the output signal-to-interference-and-noise ratio (SINR) is improved obviously.Simulation results show that the proposed algorithm can effectively improve the robustness of beamformer against different types of model mismatch.Moreover

the proposed algorithm can deal with DOA mismatch in large region

and the robustness against the angular sector of DOA is quite strong.

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