Novel method for the low autocorrelation OFDM chirp waveform

Author

Bi Wenwei ; Zhuang Yan ; Wan Yangyue ; Zhou Mingyang

Author_Institution

Dept. of Inf. & Commun. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2013

fDate

15-17 Nov. 2013

Firstpage

74

Lastpage

77

Abstract

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.

Keywords

OFDM modulation; convex programming; genetic algorithms; transforms; AC; GS algorithm; Gerchberg-Saxton; OFDM chirp signal; OFDM chirp waveforms; PAPR; PSL; WSSL; convex optimization method; convex problem; low autocorrelation OFDM chirp waveform; novel method; peak sidelobe level; signal processing applications; weighted sum of sidelobe levels; Channel estimation; Chirp; Convex functions; Correlation; OFDM; Radar; Timing; ODFM Chirp; auto-correlation; weighted sum of sidelobe levels;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Information and Emergency Communication (ICEIEC), 2013 IEEE 4th International Conference on

Conference_Location

Beijing

Type

conf

DOI

10.1109/ICEIEC.2013.6835457

Filename

6835457