Joint Cancelation of Autocorrelation Sidelobe and Cross Correlation in MIMO-SAR
Research output: Contribution to journal › Article › Scientific › peer-review
- National University of Defense Technology
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.
|Number of pages||5|
|Journal||IEEE Geoscience and Remote Sensing Letters|
|Publication status||Published - 2017|
|MoE publication type||A1 Journal article-refereed|