稀疏圆阵的解相干求根MUSIC算法
发布时间：2018-12-15 10:44
【摘要】：针对稀疏圆阵的波达方向估计问题,提出了解相干求根MUSIC算法(Sparse UCA Decorrelation Root-MUSIC,SDR)。通过改进传统的波束变换方法,进行相位校正,并在波束域进行误差补偿,得到具有共轭对称结构的波束域导向矢量。在波束域进行前后向平均处理和使用求根MUSIC算法,实现多组相干源的解相干,且避免了谱搜索,减少了运算量。平均处理增加了数据量,算法在低信噪比和低快拍数情况下有更好的估计性能。计算机仿真表明,本算法适用于稀疏圆阵对相干源的DOA估计而且有较好的估计性能。
[Abstract]:To solve the problem of DOA estimation of sparse circular arrays, a coherent root-finding MUSIC algorithm (Sparse UCA Decorrelation Root-MUSIC,SDR) is proposed. The beamspace guidance vector with conjugate symmetric structure is obtained by improving the traditional beam-transform method, correcting the phase and compensating the error in the beamspace. In the beamspace, the forward average processing and the root seeking MUSIC algorithm are used to realize the decoherence of multiple coherent sources, and the spectral search is avoided and the computation is reduced. The average processing increases the amount of data, and the algorithm has better estimation performance in the case of low SNR and low beat number. Computer simulation shows that the proposed algorithm is suitable for the DOA estimation of coherent sources with sparse circular arrays and has good performance.
【作者单位】： 空军预警学院;
【分类号】：TN911.7
[Abstract]:To solve the problem of DOA estimation of sparse circular arrays, a coherent root-finding MUSIC algorithm (Sparse UCA Decorrelation Root-MUSIC,SDR) is proposed. The beamspace guidance vector with conjugate symmetric structure is obtained by improving the traditional beam-transform method, correcting the phase and compensating the error in the beamspace. In the beamspace, the forward average processing and the root seeking MUSIC algorithm are used to realize the decoherence of multiple coherent sources, and the spectral search is avoided and the computation is reduced. The average processing increases the amount of data, and the algorithm has better estimation performance in the case of low SNR and low beat number. Computer simulation shows that the proposed algorithm is suitable for the DOA estimation of coherent sources with sparse circular arrays and has good performance.
【作者单位】： 空军预警学院;
【分类号】：TN911.7
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