Description: A subspace based DOA (Direction-Of-Arrival) estimation method for MIMO (Multiple-Input Multiple-Output) radar is studied in this paper. By transforming the data covariance matrix, we can construct the projection matrix of signal subspace and noise subspace. The computation complexity of the algorithm is reduced as it does not need to perform eigendecomposition. By using the over estimated theory, this algorithm avoid estimating the number of signal sources and can keep a good estimate performance in the case of lower SNR (Signal-to-Noise Ratios) and multi-target.
To Search:
File list (Check if you may need any files):
MIMO雷达DOA估计\corr_matric.m
...............\DOAEstErr.m
...............\fig4-3.fig
...............\fig4-4.fig
...............\fig4-5.fig
...............\fig4-6-a.fig
...............\fig4-6-b.fig
...............\fig4-6-c.fig
...............\fig4-7.fig
...............\FindLocalPeak.m
...............\MIMO_Doa_Est.m
...............\MSE_CRB.m
...............\MutTargetDoaError.m
...............\NewDoaEst.m
...............\OneTargetDoaError.m
Download