摘要
为解决MUSIC算法在DOA估计时空域搜索计算量大的问题,根据FFT输出序列点数有限的特点,分析了空间FFT测量值与实际值的关系;建立了空域分割的概念以及与测量值对应的模糊范围的概念;给出了可快速计算模糊范围的相邻值平均法;最终提出了基于空域分割的DS-MUSIC算法。该算法采用SSS-FFT算法进行空域分割并确定来波入射角的模糊范围,再使用MUSIC算法在限定的空域范围内搜索。该算法与经典MUSIC算法相比,有效减小了计算量,提高了抗噪声性能。理论分析与仿真实验证明了该算法的有效性。
In order to reduce the computational complexity of MUSIC algorithm in space searching, on the basis of the fact that the FFT＇s output sequence is finite, the relationship between spatial FFT＇s calculated value and the real value is analyzed, the concept of division of space and the concept of fuzzy boundary corresponding to calculated value are established, the method of averaging consecutive numbers is proposed for calculating the fuzzy boundary, the DS-MUSIC algorithm based on division of space is ultimately proposed. It adopts the SSS-FFT algorithm to achieve division of space and calculates the DOA＇s fuzzy boundary, then it searches in the limitative space with MUSIC algorithm. Compared with the classic the MUSIC, it can reduce the computational complexity effectively and improve antinoise performance. The theoretical analysis and simulation results demonstrate that the algorithm is effective.
出处
《电子技术应用》
北大核心
2011年第5期114-117,共4页
Application of Electronic Technique
