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.