共形阵列天线MUSIC算法性能分析

该文在建立了三维共形天线阵列流形的数学模型基础上，将经典高分辨波达方向(DOA)估计方法多重信号分类(MUSIC)算法移植到共形阵列天线中；详细分析推导了MUSIC算法在共形阵列天线 (锥面阵列、柱面阵列、球面阵列)中的估计方差、克拉美-罗界(CRB)；通过计算机仿真试验对比MUSIC算法在面阵(均匀线阵、均匀圆阵)与共形阵列中的性能函数以及估计方差，给出了MUSIC 算法在不同阵列形式中DOA估计性能的评估与比较，仿真结果显示MUSIC算法在不同阵列形式中的估计性能均随阵元个数以及信噪比的增加而变好，验证了理论分析的正确性。

Performance Analysis of MUSIC for Conformal Array

The manifold of 3D conformal array geometry is modeled and the classical high resolution Direction-Of-Arrival (DOA) estimation method—Multiple Signal Classification (MUSIC) algorithm is replanted into conformal array. The performance of MUSIC for conformal array is analyzed in detail, including its variance and corresponding Cramer-Rao bound (CRB). Computer simulations for the performance comparison between conformal array (conical array, cylindrical array, and spherical array) and planar array (uniform linear array and uniform circular array) are demonstrated. Some conclusions of MUSIC performance evaluation for different array geometry are reached. It is shown that the performance of MUSIC for different geometric arrays is improved with the increase of the elements’ number and SNR, which validates the theoretical analysis.