doa-estimation-music-master

说明：  MUSIC算法 DOA（Direction Of Arrival）波达方向定位技术主要有ARMA谱分析、最大似然法、熵谱分析法和特征分解法，特征分解法主要有MUSIC算法、ESPRIT算法WSF算法等。 MUSIC (Multiple Signal Classification)算法，即多信号分类算法，由Schmidt等人于1979年提出。MUSIC算法是一种基于子空间分解的算法，它利用信号子空间和噪声子空间的正交性，构建空间谱函数，通过谱峰搜索，估计信号的参数。对于声源定位来说，需要估计信号的DOA。MUSIC算法对DOA的估计有很高的分辨率，且对麦克风阵列的形状没有特殊要求，因此应用十分广泛。(DOA (direction of arrival) positioning technology mainly includes spectrum analysis, maximum likelihood method, entropy spectrum analysis method and feature decomposition method. The feature decomposition method mainly includes music algorithm, ESPRIT algorithm, algorithm, etc. Music (multiple signal classification) algorithm, namely multi signal classification algorithm, was proposed by Schmidt In 1979. MUSIC algorithm is an algorithm based on subspace decomposition. It uses the orthogonality of signal subspace and noise subspace to construct spatial spectrum function, and estimates signal parameters through spectrum peak search. For sound source localization, DOA of signal needs to be estimated. MUSIC algorithm has high resolution for DOA estimation, and has no special requirements for the shape of microphone array, so it is widely used.)

doa-estimation-music-master, 0 , 2018-05-04
doa-estimation-music-master\An Introduction to MUSIC and ESPRIT.pdf, 519279 , 2018-05-04
doa-estimation-music-master\MUSIC Algorithm Project.pdf, 119917 , 2018-05-04
doa-estimation-music-master\Multiple Emitter Location and Signal Parameter Estimation.pdf, 497473 , 2018-05-04
doa-estimation-music-master\README.md, 667 , 2018-05-04
doa-estimation-music-master\doaEstimation.m, 7918 , 2018-05-04
doa-estimation-music-master\numSources.m, 340 , 2018-05-04