跳频信号2D-DOA高精度估计算法

2D-DOA Frequency Hopping Signal High precision Estimation Algorithm

针对传统二维多重信号分类(MUSIC)算法进行跳频信号二维波达方向估计,在低信噪比和快拍数较少时估计精度严重下降问题,提出一种基于二阶偏导MUSIC跳频信号2D-DOA高精度估计算法。该算法根据跳频信号2D-DOA估计空间谱函数的特性,利用离散函数的二阶偏导特性,重建新的空间谱函数,将原谱峰搜索转化为负向谱峰搜索。理论分析与仿真结果表明,所提算法相比较MUSIC算法在没有显著提高算法复杂度的前提下,提高了低信噪比和小快拍数下的估计精度。

The traditional two-dimensional multiple signal classification(MUSIC)algorithm estimates the 2D-DOA of frequency hopping(FH)signal has the problem that the estimation accuracy seriously declines in the condition of low signal-to-noise ratio(SNR)and small number of snapshot.A 2D-DOA high-precision estimation algorithm based on second-order partial derivative MUSIC of FH signal was proposed in this paper.According to the characteristics of the spatial spectrum function of the FH signal,the new spatial spectral function was reconstructed by using the second-order partial derivative of the discrete function,and the search of the original spectral peak was transformed into a negative spectral peak search.Theoretical analysis and simulation results showed that,compared with the MUSIC algorithm,the proposed algorithm improved the estimation accuracy under low SNR and small number of the snapshot without increasing the complexity of the algorithm significantly.