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.

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

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．