非均匀噪声下的多阵列频域数据直接定位算法

Multi-array Frequency Data Based Direct Position Determination in the Presenceof Unknown Nonuniform Noise

  • 摘要: 实际多阵列无源定位系统中,多个阵列分散分布以及单个阵列各阵元之间的差异会造成接收噪声功率分布不均匀,进而导致直接定位算法精度下降。针对上述问题,本文提出了一种非均匀高斯白噪声场中的多阵列频域数据直接定位算法。该算法首先利用阵列输出协方差矩阵对噪声协方差矩阵进行估计,再用估计结果预白化阵列输出协方差矩阵,从而减弱了非均匀噪声对直接定位算法的影响。仿真表明在非均匀噪声下该算法的定位精度较传统的直接定位算法更高,且能较为准确的估计各阵列噪声协方差矩阵。

     

    Abstract: In practical applications of the multi-array passive localization, the nonuniform noise is caused by the multi-array distribution and the otherness of elements of a single array, which leads to the decline in accuracy. To solve the problem, a multi-array frequency data based direct position determinationalgorithm in the presence of unknown nonuniform noise is proposed for deterministic signals.The power of the nonuniform noise (covariance matrix of the noise)is first estimated using the covariance matrix of the array data. Then the estimation result is used to prewhitten the covariance matrix of the array data to lower the effect of the nonuniform noise. Simulation results demonstrate that the proposed methodperforms better than the traditional DPD algorithm in the presence of nonuniform noise, and show that the noise covariance matrix is well estimates.

     

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