The present invention discloses a mutual
coupling condition-oriented bistatic
MIMO (multiple-input multiple-output)
radar angle
estimation method. According to the method,
radar data which have been subjected to matched filtering are expressed as a third-order
tensor model by means of the multi-dimensional structure of array signals; since a uniform
linear array mutual
coupling matrix has a strip-shaped Toeplitz feature, the common scale conversion feature of a part of an
array element directional matrix is utilized to eliminate the influence of mutual
coupling; on the basis of a forward-backward
smoothing technique and a
unitary transformation technique, the augmented output trilinear model of decoupling-post data is constructed; and joint DOD (direction-of-departure) and DOA (direction-of-arrival)
estimation is related with the trilinear model; and a target DOD and DOA are estimated through the
least squares method. Compared with a traditional
algorithm, the bistatic
MIMO (multiple-input multiple-output)
radar angle
estimation method under the mutual coupling condition can effectively deal with situations where mutual coupling exists between a transmitting array and a receiving array, can automatically match the estimated DOD and DOA, and can reduce computational complexity by using a feature that trilinear
decomposition only involves real number operation.