基于信号子空间的快速多项式求根测向算法

Fast Polynomial Rooting Direction Finding Algorithm Based on Signal Subspace

波达方向估计(DOA, Direction of Arrival)为第五代(5G, the 5th Generation)移动通信系统的定位技术提供了重要的支撑,但现有的DOA估计算法有些由于计算量较大,无法用于5G移动通信的目标定位。本文提出了一种基于信号子空间的快速多项式求根测向算法。该算法从信号子空间构造多项式系数,然后通过多项式求根得到目标的DOA。所提的求根方法易于构造多项式系数,仅从M个根就即可估计M个DOA。与其他多项式求根方法相比,对于大型阵列,该方法可以显著降低计算量。计算机仿真结果证明了所提方法的正确性和有效性。

DOA (Direction Of Arrival) provides an important support for the positioning technology of 5G (the 5th Generation) mobile communication system, but some of the existing DOA estimation algorithms cannot be used for the target positioning of 5G mobile communication due to the large amount of computation. In this paper, a fast polynomial rooting direction finding algorithm based on signal subspace is proposed. The algorithm constructs polynomial coefficients from signal subspace, and then gets the DOAs of the signals by polynomial rooting. The proposed method is easy to construct polynomial coefficients, and M DOAs can be estimated from M roots only. Compared with other polynomial rooting algorithms, our algorithm can significantly reduce the computation for large arrays. Simulation results prove the correctness and effectiveness of the proposed method.