The Forward Scattering Radar Target Tracking And Sisar Imaging Technology Research

The forward scatter region of a bistatic radar is defined as the narrow area in whichthe bistatic angle is larger than135°, and this kind of radar is called the forward scatterradar (FSR). In this region, the target radar cross section (RCS) increases rapidly and theincreasing is independent to the target structure and material, which provides the FSRwith special advantages in detecting small, or even stealth targets.To achieve the above advantages, the FSR signal processing technology is the basis.Hence in this paper, the FSR target tracking and imaging algorithms were studied:(1). The radio holography signal (RHS) reconstruction and shadow inverse syntheticaperture radar (SISAR) imaging algorithm were studied. The imaging algorithm wassimulated based on the introduction of the SISAR principle. Considering of theineffectiveness of the usual baseband signal extraction ways, a new method wasproposed, and its effectiveness was verified with simulative and experimental data.Based on the experimental data, the reconstructed RHS was used for SISAR imagingand the results were almost the same with the real profile.(2). The SISAR imaging accuracy was analyzed. The effects of the quadric phase andsinc factor were discussed, and conclusions were drawn that long baseline andwavelength are in favor of depressing the effects of the two factors. The effect oftarget altitude was discussed and it showed that FSR is more suitable in detectinglow altitude or ground moving targets. And the coordinate errors were discussed, theresults showed that, under the small diffraction angle condition, the imagingalgorithm was more sensitive to the coordinate errors along the baseline, to achievean ideal imaging result, the relative error should be less than5%.(3). Finally, the primary parameters estimation and target tracking algorithms werestudied. The primary parameters were estimated with array antenna and the factorsaffecting the estimation accuracy were analyzed. Two target tracking algorithmswere compared and is showed that EKF can satisfy the requirements of SISARimaging.