论文标题
MIMO雷达时空自适应处理的多相波形设计
Polyphase Waveform Design for MIMO Radar Space Time Adaptive Processing
论文作者
论文摘要
我们考虑使用空中多输入 - 多输出（MIMO）雷达的多相波形设计用于接地移动目标检测。由于对波形的恒定模块和有限的词组约束，相关的设计问题是非凸面和通常的NP- hard。为了解决这个问题，我们基于放松和环状优化开发了有效的算法。此外，我们利用重新聚集技巧来避免放松带来的重大计算负担和记忆要求。我们证明，保证迭代过程中的客观值会融合。最后，我们提供了一种有效的随机方法来从融合时从松弛溶液中获得多相波形。数值示例显示了所提出的算法在设计多相波形方面的有效性。
We consider the design of polyphase waveforms for ground moving target detection with airborne multiple-input-multiple-output (MIMO) radar. Due to the constant-modulus and finite-alphabet constraint on the waveforms, the associated design problem is non-convex and in general NP-hard. To tackle this problem, we develop an efficient algorithm based on relaxation and cyclic optimization. Moreover, we exploit a reparameterization trick to avoid the significant computational burden and memory requirement brought about by relaxation. We prove that the objective values during the iterations are guaranteed to converge. Finally, we provide an effective randomization approach to obtain polyphase waveforms from the relaxed solution at convergence. Numerical examples show the effectiveness of the proposed algorithm for designing polyphase waveforms.
