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Noncircular Signal DOA Estimation with Reduced Dimension MUSIC for Coprime Linear Array

机译:互素线性阵列的降维MUSIC非圆形信号DOA估计

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In this paper, we propose a direction-of-arrival (DOA) estimation method of noncircular signals by combining noncircular property and coprime linear array signal processing. This method can significantly extend the array aperture and increase its degree of freedom (DOF). For non-circular signals, it usually needs two-dimensional spectrum peak search, which needs amount of computation to get the estimates of incident angles and non-circular phases. To reduce the computational complexity, a reduced-dimension MUSIC method is used here for the DOA estimation of noncircular signals without estimate the non-circular phase. The angle estimation performance of the proposed method is much better than that of the conventional MUSIC method for uniform linear array (ULA) and coprime linear array (CLA). Furthermore, the proposed method works well without estimating the noncircular phases and a locally spectrum peak search is used to further decrease the computational complexity. Extensive simulations have been conducted and the results show that the proposed method can achieve accurate DOA estimation under different SNR conditions.
机译:本文结合非圆形性质和共质数线性阵列信号处理,提出了非圆形信号到达方向估计方法。此方法可以显着扩展阵列孔径并增加其自由度(DOF)。对于非圆形信号,通常需要二维频谱峰搜索,这需要大量计算才能获得入射角和非圆形相位的估计值。为了降低计算复杂度,此处使用降维MUSIC方法对非圆形信号进行DOA估计,而无需估计非圆形相位。对于均匀线性阵列(ULA)和共质数线性阵列(CLA),该方法的角度估计性能远优于常规MUSIC方法。此外,所提出的方法在不估计非圆形相位的情况下也能很好地工作,并且使用局部频谱峰值搜索来进一步降低计算复杂度。进行了广泛的仿真,结果表明,该方法可以在不同的SNR条件下实现准确的DOA估计。

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