DocumentCode :
690202
Title :
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
Link To Document :
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