Subspace Based Algorithm 子空间算法
subspace based 基于子空间
subspace-based MMSE 子空间MMSE
subspace-based method 子空间方法
subspace based method 子空间方法
Subspace-based multi-user detection 基于子空间多用户检测
subspace-based parameter identification 子空间参数辨识
Subspace Rotation Based methods 子空间旋转基底类方法
The proposed method unifies and generalizes the existing subspace-based methods for blind channel estimation in single-input single-output OFDM systems to blind channel estimation for MIMO-OFDM systems.
该方法将现存的在SISO-OFDM系统中的基于子空间的盲信道估计进行统一,并且推广到MIMO-OFDM系统中。
参考来源 - MIMO·2,447,543篇论文数据，部分数据来源于NoteExpress
By unified signal model of antenna array Multicarrier DS-CDMA system, the subspace-based blind channel estimation is achieved.
通过在阵列天线多载波ds - CD MA系统下构造统一的信号模型，实现了基于子空间的信道盲估计。
ARMAX model method and subspace-based state space method were used to process the flight flutter test data, and identify the flutter modal parameters of aircraft.
论文使用了现代参数辨识技术的AR MAX模型递推法和状态子空间辨识法，对飞行颤振试验数据进行处理，辨识飞机的颤振模态参数。
Signal subspace-based high resolution algorithms are usually sensitive to various uncertainties such as locations errors, amplitude and phase errors in the receivers etc.
基于信号子空间的超分辨方法一般对接收器阵列误差非常敏感。
应用推荐