1) weighted subspace fitting
加权子空间拟合
1.
This method exploits the sources′ DOA information embedded in the sources′ velocity field by an ESPRIT algorithm and reduces the DOA variances via weighted subspace fitting techniques.
文章针对单个矢量水听器的多目标方位估计,提出了一种基于加权子空间拟合(WSF)的算法,该算法首先对单个矢量水听器接收数据作一任意的时间延迟,而后仿照ESPRIT算法的思路求解阵列响应矩阵,从中抽取各目标的波达方位。
2.
Based on the idea underlying weighted subspace fitting scheme for DOA estimation,a fitting function was constructed to achieve favorable UCA self-calibration in the presence of multipath.
针对多径干扰情况下的均匀圆阵幅相误差校正问题,分析了模式变换法不适用的原因,并基于加权子空间拟合的思想构造了一个拟合函数,通过交替优化和高斯-牛顿算法实现了多径条件下均匀圆阵幅相误差的自校正,仿真结果表明该算法具有优良的方位估计和校正性能。
3.
We researched the subspace eigenvalue decomposition and weighted subspace fitting techniques in the beamspace.
在波束空间内 ,研究了相干信源子空间分解技术和加权子空间拟合技术。
2) Weighted Subspace Fitting(WSF)
加权子空间拟合(WSF)
1.
The Weighted Subspace Fitting(WSF) algorithm is used to implement super-resolution estimation of the scanning antenna.
针对传统扫描体制雷达(机扫雷达)无法分辨半功率波束宽度内存在多目标的问题,基于阵列信号处理的思想,应用加权子空间拟合(WSF)方法实现了机扫雷达超分辨估计。
3) weight subspace fitting
加权子空间拟和
4) weighted subspace
加权子空间
1.
A solution method of weighted subspace based on GA technique;
一种基于遗传算法的加权子空间求解法
5) subspace fitting
子空间拟合
1.
Since the performance of traditional DOA estimation algorithm degrades significantly under SαS noise,we propose two signal/noise subspace fitting (SSF/NSF) DOA estimation methods,on the basis of fractional lower order moment (FLOM) and screened ratio principle.
研究了在对称α稳定分布(Symmetric α-stable,SαS)冲击噪声背景下的基于子空间拟合的多目标DOA估计算法。
6) weighted subspace fitting algorithm
加权子空间算法
1.
In direction finding of burst and low SNR signal,the statistic performance of weighted subspace fitting algorithm(WSF) is better than that of Music and Esprit algorithms,which can also find direction of coherent signal.
本文提出的改进遗传算法,是一种运算速度较快的加权子空间算法的实现算法。
补充资料：合权
1.顺应时势;善于权变。
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