【摘要】 当信号中存在α稳定分布噪声时,传统空间时频多重信号分类(STF-MUSIC)算法的空间波达方向(DOA)估计性能会降低甚至失效。为此,利用分数低阶矩(FLOM)代替二阶协方差矩阵,定义分数低阶矩空间时频分布矩阵(FLOM-STFDM)。对FLOM-STFDM进行特征分解,得到适用于稳定分布噪声环境的空间时频TF-FLOM-MUSIC算法,分析该算法的信噪比及误差估计,并给出算法实现步骤。仿真结果表明,TF-FLOM-MUSIC算法可有效降低DOA估计的均方误差,提高估计的分辨率和平滑性。更多还原

【Abstract】 The performance of Direction of Arrival(DOA) estimation based on conventional Spatial Time-frequency Multiple Signal Classifi-cation(STF-MUSCI) degenerates in α stable distribution environment.A new Time-frequency Fractional Lower Order Moment MUSIC(TF-FLOM-MUSIC) method is proposed,second covariance matrix is substituted by Fractional Lower Order Matrix(FLOM) and Fractional Lower Order Moment Spatial Time-frequency Distribution Matrix(FLOM-STFDM) is defined,FLOM-STFDM is decomposed in the method.DOA estimation Mean Squared Error(MSE) and Generalized Signal Noise Ratio(GSNR) are analyzed and algorithm steps are summarized.Simulation results show that TF-FLOM-MUSIC algorithm can reduce effectively DOA estimation MSE and improve estimation resolution.更多还原