Title :
DOA estimation algorithm of MIMO system
Author :
Renda Lei ; Jinpeng Wang ; Hu Li ; Zhisen Wang
Author_Institution :
R&D Inst. of Integrated Meas. & Control, Dalian Polytech. Univ., Dalian, China
Abstract :
In this paper, we propose a method of direction of arrival (DOA) estimation which is called complex spatial specturm method (CSM). Advantages and disadvantages of the multiple signal classification (MUSIC) algorithm and the Reciprocal Weighted of Signal subspace principal eigenvalue Projection (RWSP) algorithm are discussed in the paper. By combing the advantages of two algorithms, the information of signal subspace and noise subspace are used in CSM. The feasibility of CSM which uses spatial spectrum estimation is proved theoretically. Simulation results indicate that the CSM is a high resolution and robustness algorithm for resolving multiple incoherent and coherent signals that are incident on an array of antenna.
Keywords :
MIMO communication; antenna arrays; direction-of-arrival estimation; eigenvalues and eigenfunctions; signal classification; DOA estimation; MIMO system; MUSIC algorithm; antenna array; coherent signals; complex spatial specturm method; direction of arrival estimation; multiple incoherent signal; multiple signal classification; noise subspace; reciprocal weight; signal subspace principal eigenvalue projection; spatial spectrum estimation; CSM; DOA; robustness; spatial spectrum; subspace projection;
Conference_Titel :
Communication Technology and Application (ICCTA 2011), IET International Conference on
Conference_Location :
Beijing
DOI :
10.1049/cp.2011.0649