【摘要】 针对基于均匀圆阵的子空间类DOA估计算法包含大量复数运算、硬件实现复杂的问题,提出了阵元空间中的一种酉变换方法。该方法利用阵列的中心对称性将协方差矩阵和导向矢量分别转化为实对称阵和实矢量,从而大大降低了硬件实现复杂度。基于该酉变换的MUSIC算法在性能上优于传统的MUSIC算法和均匀圆阵模式空间酉MUSIC算法。更多还原

【Abstract】 Subspace based DOA estimation algorithms with a uniform circular array (UCA) involve complex computations,which results in high hardware implementation complexity.To solve this problem,a unitary transformation method in element space is proposed.Exploiting the centrosymmetry of UCA,this method makes the covariance matrix and steering vectors real-valued,thus the hardware implementation complexity is significantly reduced;furthermore,the MUSIC algorithm following the unitary transformation performs better than both the conventional MUSIC and the unitary MUSIC in phase mode space of the UCA.更多还原