Joint Cancelation of Autocorrelation Sidelobe and Cross Correlation in MIMO-SAR

Lilong Qin, Sergiy A. Vorobyov, Zhen Dong

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)


Waveform separation based on matched filtering leads to autocorrelation sidelobe and cross correlation, which deteriorate the performance of multiple-input multiple-output synthetic aperture radar (MIMO-SAR). This letter investigates the performance of a waveform-separation approach employing an extended space-time coding (STC) scheme for MIMO-SAR. Using the autocorrelation property of multiphase complementary codes, we propose a novel STC scheme to effectively cancel out both the autocorrelation sidelobe and cross correlation. Using theoretical analysis also confirmed by simulations, we show that the proposed scheme decreases the sidelobe ratio while increasing the signal-to-noise ratio, leading to high-quality.

Original languageEnglish
Pages (from-to)931-935
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Issue number6
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed


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