摘要
针对冲击噪声背景下的传统波达方向(DOA)估计算法性能下降的问题,该文提出一种适用于任意分布冲击噪声的无穷范数归一化旋转不变子空间(Inf-ESPRIT)算法。该方法首先对阵列接收的快拍数据进行无穷范数归一化处理,然后对伪协方差矩阵进行特征分析,利用ESPRIT算法实现DOA的估计。与传统的基于分数低阶矩的方法相比,该算法具有以下优势:适用于多种不同分布的冲击噪声环境,无需已知冲击噪声特征指数的先验信息或估计值,可以获得更好的估计性能。计算机仿真实验证明了所提算法的有效性。
To solve the problem of performance estimation in impulsive noise environments, this degradation of traditional direction-of-arrival （DOA） paper proposes a new estimation of signal parameters via rotation invariant technique algorithm based on infinite-norm normalization--Inf-ESPPdT algorithm for estimating DOA in arbitrary unknown impulsive noise environment. This new algorithm normalizes each sensor-array snapshot＇s spatial data vector by its infinity-norm, then constructs a pseudo-covariance matrix out of the impulsive noise impaired data and analyzes its characteristics. The ESPRIT algorithm is applied in the pseudo-eovariance matrix to yield DOA estimates. The proposed Inf-ESPRIT algorithm outperforms the customary fractional lower order moment ESPRIT（FLOM-ESPRIT） algorithm with the following advatages ： applicable to a wider class of heavy-tailed impulsive noises ; requiring no prior information or estimation of the effective characteristic exponents of the impulsive noises ; offering better estimation accuracy. Computer simulations are conducted to verify the efficiency of the proposed algorithm.
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2009年第6期785-789,共5页
Journal of Nanjing University of Science and Technology
关键词
冲击噪声
波达方向估计
分数低阶矩
旋转不变子空间算法
无穷范数归一化
impulsive noise
direction-of-an-ival estimation
fractional lower order moments
estimation of signal parameters via rotation invariant technique algorithm
infinite-norm normalization
