多属性决策在舰艇编队防空目标选择决策中的应用研究

在目标信息不完全的情况下,进行打击目标的快速决策,需要考虑的因素众多,各因素之间有的相互关联,有的相互冲突,从而使决策不可避免的会出现不准确性.应用多属性决策的方法进行打击目标选择,建立相应的模型,并通过综合赋权法,将客观权重和主观权重相结合,提高了决策的科学性和合理性,为舰艇编队的防空打击目标选择的快速决策提供科学的依据.     

Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT

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.