Study On Synthetic Aperture Radar Imaging And Moving Target Indication Method

Synthetic aperture radar (SAR) is a very important remote sensor, which has theadvantages of all-weather, day/night and long range imaging. The combination of SARand ground moving target indication (GMTI) can better monitor both the stationary andmoving targets in the scene. At present, the technique of synthetic aperture radar groundmoving target indication (SAR-GMTI) has been gradually developed from the theoryresearch to the practical application over the last decades at home and abroad Thedissertation focuses on synthetic aperture radar imaging and multi-channel SAR-GMTI.The major work is as follows:Firstly, SAR imaging technique is introduced. The principle of SAR is discussed indetail; the Range-Doppler imaging algorithm is focused on, and then the SAR imagingprocess is illustrated through the imaging of the point target.Secondly, the block adaptive quantization (BAQ) algorithm for compression of theSAR raw data is investigated. After analysis of the statistical properties of the SAR rawecho data, the principle of BAQ is elaborated, and then the compression performance ofthe BAQ algorithm is showed based on the results of the simulation data.At last, the space-time-frequency technique for multi-channel SAR-GMTI isstudied. The first analysis is the Doppler and phase characteristics of the echo signal ofmulti-channel SAR; then specific processing steps of the space time frequencytechnique are got through the analysis, with detailed description of the calculation of theweight coefficient of its space-time adaptive clutter suppression and moving targetcoherent accumulation process; Finally, The simulation data process resultsdemonstrates that this approach can detect the moving targets efficiently.