Title :
An OFDM-based waveform separation approach for MIMO-SAR
Author :
Lilong Qin;Sergiy A. Vorobyov; Zhen Dong
Author_Institution :
Department of Signal Processing and Acoustics, Aalto University, FI-00076, Finland
Abstract :
The waveform separation based on matched filtering leads to the cross correlation interference, which deteriorates the performance of multiple-input multiple-output (MIMO) radar system. This paper investigates the performance of a waveform separation approach employing a novel orthogonal frequency division multiplexing scheme for MIMO synthetic aperture radar. The approach enables to separate the waveforms perfectly even though the waveforms are on common spectral support. By means of theoretical analysis confirmed also by simulations, we show that the proposed scheme decreases sidelobe ratio. Thus, the high-quality imaging can be achieved.
Keywords :
"OFDM","Radar imaging","MIMO","Synthetic aperture radar","Radar antennas","Imaging"
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 IEEE 6th International Workshop on
DOI :
10.1109/CAMSAP.2015.7383752