Efficient Strip-Mode Sar Raw Data Simulator of Extended Scenes Included Moving Targets

Abstract

Abstract-An accurate and efficient SAR raw data generator is of considerable value for testing system parameters and the imaging algorithms. However, most of the existing simulators concentrate on the raw signal simulation of the static extended scenes and targets. Actually the raw signal simulator of the moving targets is highly desired to quantitatively support the application of the ground moving targets indication. The raw data simulation can be exactly realized in the time domain but not efficient especially when simulating an extended scene. As for the issues, the analytical expression for the 2-D signal spectrum of moving targets with constant acceleration is derived and a fast raw data simulation method in the 2-D frequency domain based on inverse ω-κ algorithm is proposed in this paper, where the inverse STOLT interpolation is applied to simulate the range-azimuth couple. So it is more efficient than the time domain one by making use of Fast Fourier Transform (FFT). Simulation results for a man-made scene and a real SAR scene are provided to demonstrate its validity and effectiveness.

Efficient High-Speed Strip-Mode Sar Raw Signal Simulator of Extended Scene Included Static and Moving Targets

“…The high-speed SAR raw signal simulation procedure for the extended scene included fixed and moving target can adopt the method in paper [10] as shown in Fig. 3(a); however, the basic steps of the raw data simulator are not alike because the 2-D spectra of high-speed SAR and non-high-speed SAR are different.…”

“…The frequency domain simulator is put forward to increase the efficiency [3][4][5][6], which takes the spatial variant range-azimuth coupling into count and even considers the trajectory deviations of the radar [7,8]. Moreover, some simulators can generate raw signal of the extended scene included static and moving targets [9][10][11].…”

A fast multichannel SAR raw data simulator of clutter and moving targets

“…For this purpose, Dogan and Kartal (2011) proposed an algorithm in which the SAR raw data of each moving and stationary target was the result of multiplying the 2D FFT of its reflectivity pattern and impulse response of a point scatterer with a reference range. To increase the speed of this simulator, Yang et al (2013) proposed an algorithm by which the moving targets are classified with different velocities first of all, which may put the targets with the same motion parameters together and generate the raw signal at the same time with the simulator. After generating the raw data of extended scenes, fixed and moving targets, they should be added together to get the SAR raw data of mixed scenes.…”

“…Therefore, it is inevitable to use its simulator. The performance of the GMTI system can be analyzed and evaluated by modeling the whole system through simulation method (Yang et al 2013).…”