基于双旋转单偶极子阵列的谱参数估计方法

提出了一种基于双旋转单偶极子阵列的联合谱参数估计算法.通过旋转阵元及修正极化多重信号分类(multiple signal classification, MUSIC)算法中谱函数的导向矢量, 便能实现用两阵元进行多目标测向, 回避了传统算法中要求信号源个数小于阵元数的问题.仿真结果表明:在小快拍数、低信噪比的影响下, 该算法在测向性能上优于阵元数为6的极化空间谱估计算法, 且所用通道数少, 可降低成本.该算法所述的单偶极子阵列可用任意极化敏感天线单元或组合进行构造, 可移植性较强.

Spectral parameter estimation method based on double rotation single dipole array

A joint spectral parameter estimation algorithm based on double rotary single dipole array is proposed. By rotating the array element and modifying the steering vector of the spectral function in the polarized MUSIC algorithm, a multi-objective direction finding can be realized with two elements, which overcomes the traditional algorithm requirements that the number of elements should be greater than that of the signal sources. The simulation results show that the proposed algorithm is superior in the performance to the traditional six-element polarization-sensitive uniform circular array under the influence of small snapshot and low signal-to-noise ratio (SNR), which can reduce the cost with fewer channels. The single dipole array described in this algorithm can be constructed with any polarized sensitive antenna element or combination, and can be easily applied to other structures.