低自相关OFDM啁啾波形的一种新方法

Bi Wenwei, Zhuang Yan, Wan Yangyue, Zhou Mingyang
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引用次数: 1

摘要

在许多通信或信号处理应用中需要具有低自相关(AC)的波形。针对传统OFDM啁啾信号的高PAPR和高自相关特性,提出了一种凸优化方法来设计和合成OFDM啁啾波形。在此基础上,基于Gerchberg-Saxton(GS)算法对方法进行了优化,最小化了峰值旁瓣电平(PSL)和加权旁瓣电平和(WSSL)。利用松弛凸问题的最优解,提出了一种寻找低PAPR和低自相关序列的有效算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel method for the low autocorrelation OFDM chirp waveform
Waveforms with low autocorrelation(AC) are desired in many communication or signal processing applications. Because of high PAPR and high autocorrelation analysis in the traditional OFDM chirp signal, we present a convex optimization method for design and synthesize the OFDM chirp waveforms. Furthermore, based on the Gerchberg-Saxton(GS) algorithm, we optimize our method and minimized the peak sidelobe level (PSL) and weighted sum of sidelobe levels(WSSL). Using the optimal solution for the relaxed convex problem, we present an efficient algorithm to find sequences with low PAPR and low autocorrelation.
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