基于FFT变换的空间重采样宽带Root-Music算法  

Wide-band root-music algorithm based on the FFT spatial resampling

作　　者：赵春晖[1] 黄光亚 李刚 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2007年第3期39-43,共5页Applied Science and Technology

基　　金：高等学校优秀青年教师教学科研奖励计划资助项目(2001-226)

摘　　要：提出了基于FFT变换的空间重采样方法与求根的Music算法(root-music)相结合的宽带信号测向算法.算法利用了空间重采样算法的优点,利用空间的FFT变换,根据采样定理反变换得到虚拟阵元的输出,从而达到聚焦的效果,基于聚焦的思想算法保持了其对相干信号的处理能力,克服了RSS算法对预估计角度的依赖性.同时采用了求根的Music算法,使得在提高测向精度、降低测向均方误差的同时更降低了运算量.仿真实验通过与RSS和Music算法结果进行比较,验证了该算法的有效性.A method for wide-band DOA estimation is proposed in this paper. The method makes use of two basic algorithms, FFT-based spatial resampling and Root-Music, displaying better results than RSS and Music algorithms. The algorithm proposed here is based on the spatial FFT transformation. According to the sampling theorem the virtual array outputs can be got through FFT inverse transformation, and then the focused outputs can also be received without pre-estimation of directions. Based on focus algorithm, the algorithm remains the ability of handling coherent signals. Combining with the Root-Music algorithm which is superior to Music, the algorithm has a better estimation precision and mean-square error, and also a simplified operation. Comparing with the results of RSS and Music algorithms, the effectiveness of this algorithm is verified.

关 键 词：空间重采样 宽带信号 方位估计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]