通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
通过对方向矩阵进行极分解构造聚焦矩阵，把各个窄带频率处的信号子空间变换到聚焦频率处的信号子空间。
Focus matrix is constructed by polar decomposition of location matrix and transforms signal subspace at different frequency bins to signal subspace at focusing frequency bin.
该算法基于子空间分解技术，利用信号子空间和噪声子空间的正交性将两者分离。
The algorithm is based on the subspace decomposition technique. The signal subspace is separates from the noise subspace by making use of the orthogonality between them.
将快速子空间分解与宽带非相干信号子空间方法相结合，得到了宽带到达角估计快速方法。
Combined the fast subspace decomposition method with the wideband incoherent signal subspace method, a fast wideband incoherent signal subspace DOA estimation method is proposed.
在信道输出端进行子空间分解，如果信号子空间是由信道唯一决定的，那么信道参数可被唯一估计为一个常数。
In the channel output, subspace decomposition is employed. If the signal subspace can be exclusively decided by the channel, the parameter of the channel can be estimated by a constant.
在信道输出端进行子空间分解，如果信号子空间是由信道唯一决定的，那么信道参数可被唯一估计为一个常数。
In the channel output, subspace decomposition is employed. If the signal subspace can be exclusively decided by the channel, the parameter of the channel can be estimated by a constant.
应用推荐