Abstract III
Abstract
The clutter echoes of airborne bistatic MIMO(multiple-input multiple-output) radar
are range-dependence, which greatly degrades the STAP(space-time adaptive processing)
performance for clutter suppression. A rotation and projection method is introduced to
mitigate the clutter range-dependence in the element-pulse domain. This method can be
applied to the received data samples and only need the knowledge about velocities of
transmitter and receiver. The effectiveness of the proposed method is verified by
computer simulations.
On the other hand, an algorithm for multi-target three-dimensional localization is
proposed in bistatic MIMO radar, whose transmitter and receiver are UCA(uniform
circle array) and ULA(uniform linear array), respectively. Firstly, an information matrix
is formed based on ESPRIT(estimating signal parameters via rotational invariance
techniques). Then from the phase part of the eigenvalues of the information matrix the
receive angle of each target can be calculated. Finally, the transmit azimuth angles and
elevations can be obtained from the eigenvectors of that information matrix by utilizing
the method of UCA-ESPRIT. The receive angle and transmit angles of each target can
be paired automatically. According to the geometric structure of bistatic MIMO radar,
the three-dimensional coordinates of each target can be calculated with the estimated
angles and the baseline length. The validity and effectiveness of the presented method
are verified by the CRB(Cramer-Rao bound) and GDOP(geometric dilution of
precision).
Key words: Bistatic MIMO radar; range-dependence; rotation and projection
operations; three-dimensional coordinates of multiple targets; ESPRIT
