There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method , like the ml ( maximum likelihood ) algorithm , maximum entropy method and etc . , the others are based on the spatial decomposition or projection of correlation matrix , this kind of algorithm include vector characterization method , music ( multiple signal classification ) algorithm , projection matrix method , etc . music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today , however , it cannot estimate doa of signals that are correlated 空間譜估計的算法大致分兩大類:一是基于極大似然估計和最大后驗概率估計統(tǒng)計理論的算法,包括:極大似然估計法( ml ) 、最大熵法等;另一類是基于對協(xié)方差矩陣進行子空間分解或投影的算法,包括:矢量特征法、多重信號分類法( music ) 、投影矩陣法等。其中, music法是一種經典的空間譜估計主流算法,具有超強的分辨性能,但它無法實現(xiàn)對相干信號進行測向分辨。