The key problem of eigen-subspace high-resolution methods is estimation of signal or noise subspace.
运用特征子空间类高分辨方法的关键在于信号或噪声子空间的估计。
This paper attempts to implement the Eigen-subspace method, the basic method among subspace methods, using FPGAs.
本文则侧重于子空间法中特征子空间法的实现研究。
Discussing the implementation of the CORDIC-SVD in FPGAs and its applications in the Eigen-subspace method's implementation.
讨论了利用FPGA实现CORDIC - SVD的方法及如何将其应用于特征子空间法的实现中。
Reduced-rank Multistage Wiener Filter (RR-MWF) has better rank reduction performance than the methods based on eigen-subspace truncation.
降秩多级维纳滤波器在相关意义上进行截断降秩，其降秩性能优于基于特征子空间截断的降秩方法。
This paper analyzes the characteristics of the common Narrow Band Interference (NBI). A new approach for NBI suppression is proposed, which uses eigen-subspace based filtering on the echo data of SAR.
该文分析了常见的窄带干扰（NBI）的特性，并提出了一种基于回波数据特征子空间滤波的干扰抑制方法。
The key problem of eigen subspace methods is the estimation of signal or noise subspace.
运用特征子空间方法的关键在于信号或噪声子空间的估计。
A new approach is presented of the eigen-structure subspace algorithms, the problem of ambiguous estimation in the original algorithm is solved and array architecture is optimized.
提出了改进的特征结构子空间算法，采用二维联合估计方法，解决了原算法存在的角度估计模糊问题。
A new approach is presented of the eigen-structure subspace algorithms, the problem of ambiguous estimation in the original algorithm is solved and array architecture is optimized.
提出了改进的特征结构子空间算法，采用二维联合估计方法，解决了原算法存在的角度估计模糊问题。
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