additive gaussian noise meaning in Chinese
加性高斯噪声
Examples
- Two - dimensional harmonics frequency estimation in additive gaussian noise background based on quaternion and hypercomplex
四元数和超复数在加性高斯噪声背景下二维谐波频率估计中的应用 - First , the thesis introduces the definitions and the attributes of the higher - order statistics . it is insensitive to additive gaussian noise ( white or colored ) , which is what we base on to doa problems . then two doa estimation algorithms based on higher - order statistics are presented , one is that forming cumulant matrix pencil used in esprit to estimate doa problems , the other is spectrum estimation method for doa estimation based on the eigenstructure analysis of the fourth - order cumulant , and comparing the effects of the estimation to conventional covariance - based doa algorithms "
论文首先对高阶统计量的定义和性质作了介绍，特别指出了高阶统计量对加性高斯噪声(白色或有色)不敏感，这是我们利用它进行波达方向估计的理论依据，然后文中提出了两种基于高阶统计量的波达方向估计方法，一种是利用子空间旋转不变技术构造四阶累积量矩阵进行估计的方法，另一种是基于四阶累积量阵特征分解的空间谱估计测向方法，并将它们的估计效果与传统协方差方法的效果进行比较。 - Based on fourth - order cumulant , a computationally efficient method for joint estimating both directions of arrival and ranges of near field sources with known carrier frequency is firstly presented . the proposed algorithm need not any spectral peak searching and the 2 - d parameters are automatically paired . lt is suitable for arbitrary additive gaussian noise environment . in the following section , a 3 - d esprit method for jointly estimating of frequencies , doa ' s and ranges of multiple near - field sources with unknown carrier frequencies is proposed . the parameters estimation are given by the eigenvalues of different matrices . furthermore , its performances are confirmed by several computer simulations
利用四阶累积量，第五章首先给出了一种载频已知的情况下基于近场源的距离和波达方向联合估计算法，通过构造的阵列输出信号四阶累量矩阵使空间信号到达方向和距离估计无需谱峰搜索，且参数自动配对，适合于任意高斯噪声环境。进一步在第三节提出了一种载频未知的情况下的多个近场窄带信号源doa 、距离和频率联合估计的3 - desprit算法。 - Higher - order cumulants are blind to additive gaussian noise ( white or colored ) and this is the theoretical advantage of higher - order cumulants . secondly , the thesis introduces the doa problems and the widely used music method . to overcome the shortcomings of the traditional music method , the thesis proposes the foc - music method , which has better performance than the traditional music method
本文首先介绍了高阶统计量的定义和性质,特别指出了高阶累积量对加性高斯(白色或有色)噪声的盲性,这是利用它进行波达方向估计的理论优势;其次,文中介绍了波达方向( doa )估计问题和doa估计中应用最广的多信号分类法( music ) 。