OFDM雷达中最优PMEPR和失匹配滤波器设计的凸优化

G. Lellouch, A. Mishra, M. Inggs
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引用次数: 5

摘要

在OFDM雷达中,两种不同的处理技术需要不同的OFDM脉冲约束集。一方面,时域包络的变化必须最小化。另一方面,不仅如此,压缩脉冲的旁瓣电平也应最小化。虽然有许多技术可以单独或联合解决这两个问题,但它们从未被证明是最佳的。相比之下,最近开发的凸优化技术保证了特定问题的最佳解决方案,同时涉及较短的计算时间。在本文中,我们解决了所谓的峰值平均包络功率比(PMEPR)优化的无限制问题,并结合OFDM情况下最优失匹配滤波器的设计。我们证明,我们基于凸的方法能够胜过许多最先进的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Convex optimization for optimal PMEPR and mismatched filter design in OFDM radar
In OFDM radar, two distinct processing techniques call for different sets of constraints for the OFDM pulse. On the one hand the variations of the time domain envelope must be minimized. On the other hand, not only this, but the sidelobe level of the compressed pulse shall also be minimized. While a number of techniques exist to address both problems separately or jointly, they were never proven to be optimal. In contrast, the recently developed convex optimization techniques guarantee the best solution for the particular problem at stake while involving short computation times. In this paper, we address the unrestricted problem of the so-called peak-to-mean envelope power ratio (PMEPR) optimization jointly with the design of optimal mismatched filters for the OFDM case. We demonstrate that our convex based method is able to outperform a number of state-of-the-art techniques.
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