Angle estimation for bistatic MIMO radar in the presence of spatial colored noise

• DOI: 10.1016/j.sigpro.2016.12.017
• Publication Date: 2016-12-21T20:33:58Z
• Authors: Fangqing Wen; Xiaodong Xiong; Jian Su; Zijing Zhang
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

In this paper, we address the problem of angle estimation for bistatic multiple-input multiple-output (MIMO) radar in the presence of spatial colored noise. By exploiting the temporal structure and the multidimensional inherent structure, a fourth-order cross-covariance tensor is formulated to eliminate the effect of spatial colored noise. The higher-order singular value decomposition is utilized for accurate signal subspace estimation. Thereafter, angles are obtained with the shift-invariance technique. The proposed method can achieve automatic pairing of the estimated angles without any virtual aperture loss, thus it has better estimation performance than existing methods. Extensive numerical experiments verify the effectiveness and improvement of our algorithm. HighlightsWe investigate tensor-based subspace approach for angle estimation in a bistatic MIMO radar with unknown spatial colored noise.A temporal cross-correlation tensor is constructed for de-noising.The proposed method brings no virtual aperture loss and achieves more accurate angle estimation performance than the existing methods.