用于宽带信号测向的修正RSS算法

宽带信号测向是信号处理研究的难点课题之一,在许多领域都有重要应用.如何提高测向算法的精度和运算速度成为急需解决的问题。这里利用矩阵奇异值分解的性质,对旋转信号子空间宽带测向算法中聚焦矩阵的计算方法进行修正,从而给出了一种简便的聚焦矩阵计算方法─修正RSS算法,该算法可以大大减小运算量,与传统的RSS算法相比,修正的RSS算法在方向估计精度、分辨率和相干测向性能等方面都获得了较大提高.将该算法应用到八元均匀线阵上,仿真实验结果证明了算法的有效性.

Modified rotate signal sub-space algorithm for wide-band direction finding

Wide-band direction finding ,which has important applicntions in many fields,is one of the difficult tasks in signal processing. The ongoing challenge is how to improve the accuracy and computing speed of the direction finding algorithm. Based on the basis of the property of matrix singular value decomposition, this paper modifies the way of computing the focusing matrix in a rotate signal sub-space wide-band direction finding algorithm and gives a simple way of computing the focusing matrix which is called a modified RSS algorithm. Compared with the traditional RSS algorithm, it can signiticantly reduce computing amount and improve performances such as accuracy, resolution, and relative direction finding. Applying the algorithm on a uniform linear array with eight sensors, extensive simulation results demonstrate that the algorithm is effective.