论文标题
使用最小峰侧室的设计序列集,用于高分辨率雷达成像中的应用
Designing sequence set with minimal peak side-lobe level for applications in high resolution RADAR imaging
论文作者
论文摘要
具有较低峰侧室水平的恒定模量序列集是增强现代活动感应系统(如多重输入多重输出(MIMO)雷达)的性能。在本文中,我们考虑了设计通过最小化峰值侧室水平来设计恒定模量序列的问题,峰侧室水平可以作为非凸极小型问题施放,并提出基于大型化最小化技术的基于迭代的单调算法。我们算法的迭代步骤在计算上不是很苛刻,并且可以通过快速傅立叶变换(FFT)操作有效地实现。我们还建立了我们提出的算法的收敛性,并讨论算法的计算和空间复杂性。最后,通过数值模拟,我们通过最先进的方法说明了方法的性能。为了突出我们的方法的潜力,我们在探测序列集设计中,用于MIMO雷达角度范围成像应用,并在与其他常用的序列集设计方法相比时,评估了通过我们的方法设计的序列集的性能。
Constant modulus sequence set with low peak side-lobe level is a necessity for enhancing the performance of modern active sensing systems like Multiple Input Multiple Output (MIMO) RADARs. In this paper, we consider the problem of designing a constant modulus sequence set by minimizing the peak side-lobe level, which can be cast as a non-convex minimax problem, and propose a Majorization-Minimization technique based iterative monotonic algorithm. The iterative steps of our algorithm are computationally not very demanding and they can be efficiently implemented via Fast Fourier Transform (FFT) operations. We also establish the convergence of our proposed algorithm and discuss the computational and space complexities of the algorithm. Finally, through numerical simulations, we illustrate the performance of our method with the state-of-the-art methods. To highlight the potential of our approach, we evaluate the performance of the sequence set designed via our approach in the context of probing sequence set design for MIMO RADAR angle-range imaging application and show results exhibiting good performance of our method when compared with other commonly used sequence set design approaches.