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旋转不变子空间
相关语句
  rotational invariant subspace
     Vertical Layered Space Time Coding Based on Rotational Invariant Subspace
     基于旋转不变子空间的垂直分层空时码
短句来源
  “旋转不变子空间”译为未确定词的双语例句
     The simulation has been on other algorithms of DOA estimation which include the MUSIC algorithm based on the subspace decomposition, ESPRIT and farword/back spatial smoothing algorithms, at the same time has carried on the detailed analysis to estimation performance of these algorithms.
     此外还对波达方向估计算法进行了仿真,包括基于子空间分解的MUSIC算法、旋转不变子空间算法以及前/后向空间平滑算法,同时对这几种算法的估计性能进行了详细的分析。
短句来源
     ESPRIT algorithm simulation indicates that the estimation precision of the signal parameter enhances correspondingly along with increasing of SNR and the quick racket number. The incident angle is smaller, and the DOA estimation performance has better;
     旋转不变子空间算法的仿真表明信号参数的估计精度随着信噪比的增大,快拍数的增加而提高,且具有较高的估计精确度,入射角度较小时,DOA估计性能要好一些。
短句来源
     Finally, we realize a direction finding algorithm analysis platform based on the principle of software engineering. Using this platform we analyze and compare the performance of MUSIC direction finding algorithm and two other ESPRIT(Estimation of Signal Parameters via Rotational Invariance Techniques) algorithms. The results we attained are consistent with the theory research.
     进一步运用软件工程原理实现测向算法分析平台,并基于此平台对MUSIC测向算法和两种标准旋转不变子空间测向算法(ESPRIT,Estimation of Signal Parameters via Rotational Invariance Techniques)进行分析和性能对比,得出了与理论研究相一致的结果。
短句来源
     Secondly, subspace decomposition algorithm is introduced, which mainly including MUSIC algorithm, ESPRIT algorithm and conjugate ESPRIT algorithm, and their theoretical performance is deeply analyzed.
     介绍了包括多重信号分类(MUSIC)、旋转不变子空间(ESPRIT)和共轭ESPRIT算法在内的子空间分解类算法,并进行了较为深入的理论性能分析;
短句来源
     Consequently, the system should select reasonable algorithms in various communication environments and algorithm diversity technology could optimize the system to work well.
     然后重点研究DOA估计算法中的多重信号分类(MUSIC)算法,旋转不变子空间(ESPRIT)算法和二维DOA估计算法。
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  相似匹配句对
     PERTURBATION OF EIGENVALUES ASSOCIATED WITH INVIARIANT SUBSPACES
     子空间上特征值的扰动
短句来源
     THE DECOMPOSITION OF (A,B) INVARIANT SUBSPACES
     (A,B)子空间的分解
短句来源
     Vertical Layered Space Time Coding Based on Rotational Invariant Subspace
     基于旋转子空间的垂直分层空时码
短句来源
     On Invariant Subspaces of Contraction Operators
     关于压缩算子的子空间
短句来源
     THE PERTURBATION OF MATRIX-EIGENVALUES ASSOCIATED WITH INVARIANT SUBSPACES
     子空间上特征值的摄动(英文)
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On the symbol detection of layered space time codes, it is assumed that the perfect channel estimations are available at the receiver. A subspace based vertical layered space time code is proposed for symbol detection when neither the transmitter nor the receiver has access to channel state information. It addresses the space time code from both an array signal processing and a space time coding perspective. With the special structure of Vandermonde layered space time code and by exploiting the eigen structure...

On the symbol detection of layered space time codes, it is assumed that the perfect channel estimations are available at the receiver. A subspace based vertical layered space time code is proposed for symbol detection when neither the transmitter nor the receiver has access to channel state information. It addresses the space time code from both an array signal processing and a space time coding perspective. With the special structure of Vandermonde layered space time code and by exploiting the eigen structure of the space time correlation matrix, the rotational invariant subspace of signal is worked out and a closed form symbol estimation is accomplished from the subspace without training symbols and channel state information, which increases spectral efficiency. The Monte Carlo simulations show that the performance of this algorithm can approach that of the detector with the perfect channel state information.

提出一种基于旋转不变子空间的垂直分层空时码及其直接信号检测算法 .通过构造范得蒙分层空时码 ,可将阵列信号处理的思想应用到空时码中 ,利用空时相关阵的特征结构 ,从空时信号的旋转不变子空间中解得发射序列 ,实现了无需信道信息和导频的信号检测 ,有效地节约了估计信道时占用的频带资源 .仿真结果表明 ,该算法在不知信道信息的情况下十分接近使用准确信道信息的相干检测器

Based on an auxiliary time-delay channel and ESPRIT approach,a new algorithm for wide band frequency estimation with sub-Nyquist sampling was proposed.The frequency aliasing due to sub-Nyquist sampling can be resolved by the proposed frequency aliasing resolving algorithm and information from the time-delay channel.To further reduce the complexity of the proposed method,a simplified algorithm with little performance degradation was also given in this paper.At last,simulation results verify the efficiency of...

Based on an auxiliary time-delay channel and ESPRIT approach,a new algorithm for wide band frequency estimation with sub-Nyquist sampling was proposed.The frequency aliasing due to sub-Nyquist sampling can be resolved by the proposed frequency aliasing resolving algorithm and information from the time-delay channel.To further reduce the complexity of the proposed method,a simplified algorithm with little performance degradation was also given in this paper.At last,simulation results verify the efficiency of the proposed method.

基于时延和旋转不变子空间技术 (ESPRIT) ,本文提出了一种新的欠采样宽频带信号频率的高分辨估计方法 .文中 ,欠采样所引入的频率模糊由增加的延迟通道提供的信息加以消除 ,并提出了相应的频率解模糊算法 .为进一步降低运算量 ,文中给出了该频率估计方法的简易算法 ,增强了方法的实用性 .文末推导给出频率估计的CRLB ,并通过数值仿真实验验证了本文算法的有效性

The eigenvalues estimation and association of subspace rotation invariance is an improtant problem in the multidimensional spectral and array processing.This paper exploits multiple invariance subspace of the second-order statistic of the observations collected from parallel crossed dipoles uniform linear array,and automatically paired frequency,two-dimensional directions and the polarization of incoming narrow-band signals via single signal subspace as long as each signal parameters are unique.The algorithm...

The eigenvalues estimation and association of subspace rotation invariance is an improtant problem in the multidimensional spectral and array processing.This paper exploits multiple invariance subspace of the second-order statistic of the observations collected from parallel crossed dipoles uniform linear array,and automatically paired frequency,two-dimensional directions and the polarization of incoming narrow-band signals via single signal subspace as long as each signal parameters are unique.The algorithm provides multiple parameter estimation via single eigenvector matrix that neither requires any expensive search procedure nor any other pairing strategy.Moreover it does not break down if several independent signals have common parameters.The Monte Carlo simulations are shown to be in close agreement with theoretically analysis.

旋转不变的子空间中特征值的估计与关联是多维谱估计和阵列信号处理的重要问题。采用平行的交叉偶极子均匀线阵,利用各子阵列输出信号的相关矩阵构造多个旋转不变的子空间,并用其中一个子空间的信号子空间实现了频率、二维到达角和极化的自动配对。整个计算过程只需进行一次矩阵特征值的分解,就可完成多维参量估计与配对,且不存在参量兼并现象,理论分析与计算仿真结果证明了方法的有效性。

 
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