A low-complexity angle estimation method for multiple-input multiple-output (MIMO) radar using
beamspace unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) is presented.
Reduced-dimensional transformation is firstly utilized as a pre-processing to obtain the reduced-dimensional data
matrix, and then a conjugate centrosymmetric discrete Fourier transform (DFT) matrix is employed to map
the received data into lower-dimensional beamspace and transforms the complex covariance matrix into a realvalued
one. At last, the rotational invariance structure of the real-valued signal subspace is constructed in the
beamspace to obtain the estimation of direction of arrival (DOA). Compared with the other ESPRIT algorithms,
the proposed method can achieve improved estimation performance with a significantly reduced computational
complexity. Simulation results are presented to demonstrate the effectiveness of the proposed method.
XU Liqin (徐丽琴), LI Yong (李勇)
. Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT[J]. Journal of Shanghai Jiaotong University(Science), 2018
, 23(2)
: 256
-263
.
DOI: 10.1007/s12204-018-1935-8
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