【摘要】 基于十字阵的改进高阶累积量DOA估计算法是十字阵导向矢量模型的基础上实现了的Music算法。首先将Music算法中的二阶累积量扩展到四阶累积量,然后对协方差矩阵进行分解,得到高分辨率的DOA估计。改进算法相对于等距线性阵列的Music算法具有全方位定位、阵元数少的特性,且在有色高斯噪声环境下具有很好的谱估计性能。改进算法还对初始采样信号进行了DFT预处理,以克服高阶累积量计算量大的缺点。仿真实验表明,算法计算量少且分辨率高。更多还原

【Abstract】 An improved DOA algorithm based on cross array and high-order cumulants is proposed.Firstly,the steering vector of cross array is constructed.Secondly,Music Algorithm of two-order cumulants is extended to Music Algorithm of four-order cumulants,and the corresponding covariance matrix is decomposed.Then the high resolution DOA estimation is achieved.Compared with second-order cumulants Music algorithm based on Uniform Linear Array(ULA),this algorithm has the attribute of omni-directional estimation which needs small number of array elements,as well as good performance in colored gaussian noise environment.Besides,the DFT preprocessing is used to avoid the weakness of huge calculation of high-order cumulants.Simulation results show that this algorithm has the characteristics of less calculation and high resolution.更多还原