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Compressive Sensing Based Direction-of-Arrival Estimation in MIMO Radars in Presence of Strong Jamming via Blocking Matrix

机译:存在基于块矩阵的强干扰的MIMO雷达中基于压缩感知的到达方向估计

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The performances of the traditional anti-jamming DOA methods for the colocated MIMO radar system will be seriously deteriorated when the number of the snapshots is small. In this paper, a compressive sensing (CS)-based anti-jamming DOA estimation with only a few snapshots is proposed. In the new DOA estimation, the information on the direction of strong jamming is used to construct a blocking matrix that can block the jamming component effectively. Hence, only the desired signal component is left after preprocessing with the blocking matrix. Then, the DOA estimation problem with a blocking matrix is formulated as a sparse recovery problem, and it is solved by the orthogonal matching pursuit (OMP) algorithm. We compare the proposed method with the traditional CS-based method and the traditional anti-jamming DOA methods. Numerical results demonstrate that the proposed method outperforms the traditional methods.
机译:当快照数量少时,用于共置MIMO雷达系统的传统抗干扰DOA方法的性能将严重恶化。本文提出了一种基于压缩感知(CS)的仅具有少量快照的抗干扰DOA估计方法。在新的DOA估计中,有关强干扰方向的信息用于构造可以有效阻止干扰分量的阻止矩阵。因此,在利用分块矩阵进行预处理之后,仅剩下期望的信号分量。然后,将具有分块矩阵的DOA估计问题公式化为稀疏恢复问题,并通过正交匹配追踪(OMP)算法解决。我们将提出的方法与传统的基于CS的方法和传统的抗干扰DOA方法进行了比较。数值结果表明,该方法优于传统方法。

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