论文标题
通过交替的最小化，在光谱和单对数限制下的最佳PSL的波形设计
Waveform Design for Optimal PSL Under Spectral and Unimodular Constraints via Alternating Minimization
论文作者
论文摘要
在主动传感系统中，首选具有良好自动相关的波形以进行准确的参数估计。此外，随着电磁环境变得越来越拥挤，需要光谱兼容性以避免设备之间的相互干扰。由于硬件限制，波形也应该是纯正的。在本文中，提出了一种新的方法，用于在自动相关和可调节的停止带衰减中生成具有大约最佳峰侧室侧室水平（PSL）的单模型序列。提出的方法基于交替的最小化（AM），而数值结果表明，它在PSL方面的表现优于现有方法。我们还为PSL最小化问题开发了一个理论下限，在光谱约束和单模型约束下，可以在有关此波形设计问题的各种作品中评估结果。在数值结果中观察到，所提出的算法的PSL接近得出的下限。
In an active sensing system, waveforms with good auto-correlations are preferred for accurate parameter estimation. Furthermore, spectral compatibility is required to avoid mutual interference between devices as the electromagnetic environment becomes increasingly crowded. Waveforms should also be unimodular due to hardware limits. In this paper, a new approach to generating a unimodular sequence with an approximately optimal peak side-lobe level (PSL) in auto-correlation and adjustable stopband attenuation is proposed. The proposed method is based on alternating minimization (AM) and numerical results suggest that it outperforms existing methods in terms of PSL. We also develop a theoretical lower bound for the PSL minimization problem under spectral constraints and unimodular constraints, which can be used for the evaluation of the results in various works about this waveform design problem. It is observed in the numerical results that the PSL of the proposed algorithm is close to the derived lower bound.
