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Convex optimization for optimal PMEPR and mismatched filter design in OFDM radar

机译:凸优化以优化PMEPR和OFDM雷达中的失配滤波器设计

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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.
机译:在OFDM雷达中,两种不同的处理技术要求对OFDM脉冲使用不同的约束集。一方面,必须使时域包络的变化最小。另一方面,不仅如此,还应使压缩脉冲的旁瓣电平最小。尽管存在许多单独或共同解决这两个问题的技术,但从未证明它们是最佳的。相反,最近开发的凸优化技术可确保针对特定问题的最佳解决方案,同时需要较短的计算时间。在本文中,我们结合针对OFDM情况的最佳失配滤波器设计,解决了所谓的峰均包络功率比(PMEPR)优化的无限制问题。我们证明了基于凸的方法能够胜过许多最新技术。

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