Performance Analysis of MUSIC for Conformal Array
共形阵列天线MUSIC算法性能分析

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.