基于迭代超分辨的单快拍DOA估计方法

Single Snapshot DOA Estimation Method Based on Reiterative Super-resolution

  • 摘要: 单快拍DOA估计方法可解决短时突发信号和相干信源背景下传统方法面临的秩亏损问题。本文提出一种基于迭代超分辨的单快拍DOA估计方法,利用迭代超分辨技术估计阵列的协方差矩阵,然后采用求根MUSIC算法实现对DOA的估计。该方法无需谱峰搜索,可在不损失阵列孔径的同时实现单快拍DOA估计。论文推导了基于最小方差无畸变响应原则的迭代超分辨技术,仿真分析了空间角度划分、迭代次数、信噪比等参数对DOA分辨的正确率和估计精度的影响,与已有方法的对比结果验证了本文方法的有效性。

     

    Abstract: The single snapshot DOA estimation method can solve the rank loss problem faced by traditional methods when short-term burst signals and coherent sources occur. In this paper, the covariance matrix is estimated by reiterative super-resolution technique, and the DOA is estimated by root MUSIC algorithm. This method does not need to search spectrum peaks, and can realize single snapshot DOA estimation without losing the array aperture. In this paper, the reiterative super-resolution technique based on the principle of minimum variance distortionless response is derived. The effects of spatial angle partition, the number of iterations and signal-to-noise ratio on the probability of separation and estimation accuracy are simulated and analyzed. The effectiveness of this method is verified by comparison with existing methods.

     

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