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BEAM PATTERN SYNTHESIS FOR SPACEBORNE SPARSE APERTURE RADAR

机译:用于空间稀疏孔径雷达的光束图案合成

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An effective aperture based approach is proposed for the beam pattern synthesis of a sparse aperture array by frequency diversity and post-data processing. The beam pattern by synthesizing signals received by sparse apertures is aliased with many grating lobes caused by undersampling in the effective aperture. To mitigate grating lobes, extra sampling points should add in the effective aperture to improve the sampling period. Two strategies are considered in this paper: first, by frequency diversity on M subapertures, the sampling points can be improved by a factor of M; second, by synthesizing K pulses on the entire coherent processing integral (CPI) data cube, a synthesized array can be achieved and the sampling points can be improved by K times. With the total MK sampling points improved, the peak sidelobe level (PSL) can be reduced to -25 dB with the given parameters. However, the performance is, to some extent, sensitive to position errors. Experimental simulations show the optimized effect.
机译:基于基于光圈的方法,提出了通过频率分集和后数据处理的稀疏孔径阵列的光束图案合成。通过合成由稀疏孔接收的信号的信号是含有许多引起的有效孔径引起的光栅凸裂的信号。为了减轻光栅裂片,额外的采样点应在有效的孔径中添加以改善采样期。本文考虑了两种策略:首先,通过对M个子孔节的频率分集,可以提高采样点M;其次,通过在整个相干处理积分(CPI)数据立方体上合成K脉冲,可以实现合成阵列,并且可以通过K次提高采样点。随着总MK采样点的改进,峰值旁瓣电平(PSL)可以通过给定的参数减少到-25dB。但是,在某种程度上,性能对位置误差敏感。实验模拟显示了优化的效果。

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