Bistatic SAR Raw Data Simulation for Ocean
Bistatic SAR is a potential and effective tool for ocean remote sensing, and the simulation of bistatic SAR raw data from ocean surface plays a great role in the understanding of the mechanism of bistastic SAR ocean surface imaging. In this paper, a bistaitc SAR raw data simulation model for ocean surface is presented, which includes bistatic scattering simulation and ocean echo data simulation. In our research, based on IEM scattering model, a stochastic multiscale scattering model is improved by applying the second order nonlinear modulation model, and the speckle noise and coherent time character of ocean surface are simulated in the SAR raw data simulation.
A raw signal simulator for the squint mode bistatic SAR
In this paper, we present a raw signal simulator for the squint mode bistatic SAR. Firstly, we analyze the range history for the bistatic SAR and the monostatic SAR. Through the comparison between them, we derive a set of formulas for the bistatic-to-monostatic application (BTMA). Subsequently, we introduce the 2-D Fourier domain SAR raw signal simulator for the monostatic SAR. Based on BTMA, this simulator for monostatic SAR can be extended to the bistatic case. Finally, we present some simulation results to verify the effectiveness of the proposed raw signal simulator.
Repressive coping before and after diagnosis of breast cancer
Objective: The aim was to investigate to which extent emotional repression is a premorbid coping tendency of cancer patients and/or a coping response to the threat posed by a cancer diagnosis. The results of one previous study of breast cancer patients suggest the latter possibility, and our aim was to replicate and extend these findings.