针对机载雷达在环境复杂的高空飞行时检测空中多机动目标难度大的问题,提出了一种基于NLS-RELAX的空中多机动目标参数估计方法。本方法借鉴了RELAX算法的思想,可对多个机动目标进行有效分离,并利用非线性最小二乘(Nonlinear Least Squar...针对机载雷达在环境复杂的高空飞行时检测空中多机动目标难度大的问题,提出了一种基于NLS-RELAX的空中多机动目标参数估计方法。本方法借鉴了RELAX算法的思想,可对多个机动目标进行有效分离,并利用非线性最小二乘(Nonlinear Least Squares,NLS)对分离后的每个机动目标信号进行参数估计。仿真实验表明,在目标信号严重被强杂波淹没且脉冲数有限的情况下,本方法可以获得较为精确的参数估计结果,且由于加入了RELAX的分离思想,在待检测距离单元内存在多个机动目标时本方法同样适用。展开更多
从合成孔径雷达(SAR)成像模型出发,在稀疏条件下,该文结合散射中心理论,从低分辨率图像中估计高分辨率图像的散射点参数,用若干sinc函数对感兴趣目标区(ROI)进行重建并抑制旁瓣,获得超分辨ROI切片。基于非线性最小二乘(NLS)估计给出了...从合成孔径雷达(SAR)成像模型出发,在稀疏条件下,该文结合散射中心理论,从低分辨率图像中估计高分辨率图像的散射点参数,用若干sinc函数对感兴趣目标区(ROI)进行重建并抑制旁瓣,获得超分辨ROI切片。基于非线性最小二乘(NLS)估计给出了该超分辨重建问题的迭代求解算法,并以Terra SAR-X数据进行仿真验证,仿真结果表明,该文所提方法相比双立方插值和1范数正则化方法能够获得更高的空间分辨率与目标杂波比(TCR)。后续分析表明,散射点参数的估计精度受到信噪比和sinc函数重建3 d B带宽共同影响,重建3 d B带宽越大对噪声的鲁棒性越强。展开更多
Aiming at the interferometric inverse synthetic aperture radar （InlSAR） imaging in the presence of squint, we investigate the influence of squint on the InlSAR imaging. First, coupling of the squint additive phase a...Aiming at the interferometric inverse synthetic aperture radar （InlSAR） imaging in the presence of squint, we investigate the influence of squint on the InlSAR imaging. First, coupling of the squint additive phase and the target azimuth/altitude coordinates to be solved may make the solution more difficult. Second, the squint angle may lead to estimation error of the vertical coordinates and distortion of the ultimate image. Traditional InlSAR imaging algorithms can not solve the above two problems effectively, so we propose a new method which combines the nonlinear least square （NLS） and coordinates transform （CT） to estimate the target coordinates, and a three-dimensional （3-D） image consistent with the real target is obtained accordingly. Simulations show that the proposed method is effective for the squint-mode InlSAR imaging.展开更多
文摘针对机载雷达在环境复杂的高空飞行时检测空中多机动目标难度大的问题,提出了一种基于NLS-RELAX的空中多机动目标参数估计方法。本方法借鉴了RELAX算法的思想,可对多个机动目标进行有效分离,并利用非线性最小二乘(Nonlinear Least Squares,NLS)对分离后的每个机动目标信号进行参数估计。仿真实验表明,在目标信号严重被强杂波淹没且脉冲数有限的情况下,本方法可以获得较为精确的参数估计结果,且由于加入了RELAX的分离思想,在待检测距离单元内存在多个机动目标时本方法同样适用。
文摘从合成孔径雷达(SAR)成像模型出发,在稀疏条件下,该文结合散射中心理论,从低分辨率图像中估计高分辨率图像的散射点参数,用若干sinc函数对感兴趣目标区(ROI)进行重建并抑制旁瓣,获得超分辨ROI切片。基于非线性最小二乘(NLS)估计给出了该超分辨重建问题的迭代求解算法,并以Terra SAR-X数据进行仿真验证,仿真结果表明,该文所提方法相比双立方插值和1范数正则化方法能够获得更高的空间分辨率与目标杂波比(TCR)。后续分析表明,散射点参数的估计精度受到信噪比和sinc函数重建3 d B带宽共同影响,重建3 d B带宽越大对噪声的鲁棒性越强。
基金supported by the China National Funds for Distinguished Young Scientists (Grant No.61025006)
文摘Aiming at the interferometric inverse synthetic aperture radar （InlSAR） imaging in the presence of squint, we investigate the influence of squint on the InlSAR imaging. First, coupling of the squint additive phase and the target azimuth/altitude coordinates to be solved may make the solution more difficult. Second, the squint angle may lead to estimation error of the vertical coordinates and distortion of the ultimate image. Traditional InlSAR imaging algorithms can not solve the above two problems effectively, so we propose a new method which combines the nonlinear least square （NLS） and coordinates transform （CT） to estimate the target coordinates, and a three-dimensional （3-D） image consistent with the real target is obtained accordingly. Simulations show that the proposed method is effective for the squint-mode InlSAR imaging.
