论文标题
有效的波形协方差矩阵设计和天线选择MIMO雷达
Efficient Waveform Covariance Matrix Design and Antenna Selection for MIMO Radar
论文作者
论文摘要
通过优化传输协方差矩阵来控制雷达梁型图案是一种良好的多输入 - 型 - 多数输出（MIMO）雷达的绩效的方法。在本文中，我们研究了MIMO雷达系统的波形协方差矩阵和天线位置向量的关节优化，以近似给定的发射光束图案，并最大程度地减少在许多给定目标位置的探测信号之间的互相关。我们将此设计任务制定为非凸优化问题，然后提出一种环状优化方法，以有效地近似其解决方案。我们进一步提出了一种局部二元搜索算法，以有效地设计相应的天线位置。我们表明，所提出的方法可以扩展到更一般的情况，即使用最小数量的天线并优化其位置，以近似给定的梁模式。我们的数值研究表明，在准确性和计算复杂性方面都表现出色，这使得拟议的框架成为实时雷达波形处理应用中使用的良好候选者，例如MIMO雷达在运动中的空中无人机发射光束成型。
Controlling the radar beam-pattern by optimizing the transmit covariance matrix is a well-established approach for performance enhancement in multiple-input-multiple-output (MIMO) radars. In this paper, we investigate the joint optimization of the waveform covariance matrix and the antenna position vector for a MIMO radar system to approximate a given transmit beam-pattern, as well as to minimize the cross-correlation between the probing signals at a number of given target locations. We formulate this design task as a non-convex optimization problem and then propose a cyclic optimization approach to efficiently approximate its solution. We further propose a local binary search algorithm in order to efficiently design the corresponding antenna positions. We show that the proposed method can be extended to the more general case of approximating the given beam-pattern using a minimal number of antennas as well as optimizing their positions. Our numerical investigations demonstrate a great performance both in terms of accuracy and computational complexity, making the proposed framework a good candidate for usage in real-time radar waveform processing applications such as MIMO radar transmit beamforming for aerial drones that are in motion.
