1) orthogonalization algorithm
正交化算法
1.
The reason for deteriorated performance of conventional orthogonalization algorithms for adaptive jamming cancellation at low jamming to noise ratio (JNR) was analyzed.
分析了传统的正交化算法在干噪比较低时，干扰对消效果不佳的原因。
2.
Nulls shift from the interferences directions when the orthogonalization algorithm for adaptive beam- forming is used and the algorithm fails to work when the interferences are coherent.
该算法利用修正空间平滑技术克服正交化算法不能工作于相干干扰环境的缺点;利用总体最小二乘方法得到噪声子空间,总体最小二乘处理减轻了噪声的影响,因而估计的噪声子空间接近真实噪声子空间,干扰方向形成零点。
3.
It is well known that the orthogonalization algorithm is based on the signal subspace to resolve targets and it fails to work when interfering signals are coherent.
正交化超分辨算法在大信噪比时性能优良且运算量小,但由于正交化算法是一种信号子空间方法,因而在干扰相干时失效,而空间平滑方法已广泛应用于自适应阵列相干信号的分离。
2) Gram-Schmidt orthogonal algorithm
Gram-Schmidt正交化算法
1.
Then it compares the patterns which were formed by Gram-Schmidt orthogonal algorithm,Side-lobe cancellation algorithm and SMI algorithm.
利用模式空间变换算法将均匀圆阵转换为均匀线阵,在虚拟线阵的阵列流形中,比较了Gram-Schmidt正交化算法、自适应旁瓣对消和SMI算法这三种算法形成的方向图。
3) Algorithm G-S
G-S正交化算法
4) orthomin algorithm
正交极小化算法
5) orthogonal algorithm
正交算法
1.
The article introduces the specific realization of orthogonal algorithm of least square method,and the use of orthogonal algorithm is one of the most effective calculating method developed on the state estimation so far.
介绍最小二乘法的正交算法的具体实现以及它在状态估计中的应用。
6) refined incomplete orthogonalization algorithm
精化不完全正交化算法
补充资料：正交化
分子式：
CAS号：
性质：将属于相同本征值的没有相互正交的波函数重新线性组合为新的相互正交的波函数的过程。通常选用施密特正交化方法使未正交的波函数相互正交。
CAS号：
性质：将属于相同本征值的没有相互正交的波函数重新线性组合为新的相互正交的波函数的过程。通常选用施密特正交化方法使未正交的波函数相互正交。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条