智能天线DOA估计技术研究

Research on DOA estimation technology of smart antenna

智能天线DOA估计技术中子空间分解类算法存在计算量大和采样数据多的缺点,为实现实时准确的DOA估计,提出一种在局部信号空间搜索谱峰的改进MUSIC算法,与经典算法仿真对比,结果表明改进算法运算量明显降低.此外,为克服传统算法采样数据量大且存在冗余的不足,研究基于压缩感知的DOA估计方法,即由阵列数据通过阵列流型矩阵重构出空间稀疏信号,从而估计目标信号的DOA,实验结果表明该方法估计效果显著,且性能优于传统算法.

As a kind of D0A estimation technology of smart antenna, the subspace decomposition algm＇ithm has such disadvantages as the large computational amount and more sampling data. In order to achieve real-time and accurate D0A estimation, the improved MUSIC algorithm that searching spectral peak in local spectrum space is put forward. Compared with the classical algorithm, the simulation results show- that the computational amount of the improved algo- rithm is reduced significantly. In addition, to overcome the shortcomings of large amount of sampling data and redundan- cy in traditional algorithms, we adopt the D0A estimation based on compressed sensing i.e. the space sparse signal is re- constructed fl＇om the array data by means of array manifold matrix, then the D0A of the target signal can be estimated. The simulation results show that the method has a significant estimation effect, and the performance is better than the tra-