The acceleration of a high maneuvering target in signal processing is helpful to enhance the performance of the tracker and facilitate the classification of targets. At present, most of the research on acceleration es...The acceleration of a high maneuvering target in signal processing is helpful to enhance the performance of the tracker and facilitate the classification of targets. At present, most of the research on acceleration estimation is carried out in cases of a single target with time-frequency analysis methods such as fractional Fourier transform （FRFT）, Hough-ambiguity transform （HAT）, and Wigner-Vil e distribution （WVD）, which need to satisfy enough time duration and sampling theorem. Only one reference proposed a method of acceleration estimation for multiple targets based on modified polynomial phase transform （MPPT） in the lin-ear frequency modulation （LFM） continuous-wave （CW） radar. The method of acceleration estimation for multiple targets in the pulse Doppler （PD） radar has not been reported so far. Compressive sensing （CS） has the advantage of sampling at a low rate and short duration without sacrificing estimation performance. There-fore, this paper proposes a new method of acceleration estimation for multiple maneuvering targets with the unknown number based on CS with pulse Doppler signals. Simulation results validate the effectiveness of the proposed method under several conditions with different duration, measurement numbers, signal to noise ra-tios （SNR）, and regularization parameters, respectively. Simulation results also show that the performance of the proposed method is superior to that of FRFT and HAT in the condition of multiple targets.展开更多
针对实际拍摄的靶标影像存在几何畸变,导致辐射状靶标在影像上并非标准的扇形圆弧,难以精确获得相同半径(或频率)上的原始灰度信息,从而无法精确计算成像系统MTF(modulation transfer function)值的问题,提出了通过辐射状靶标图像特征...针对实际拍摄的靶标影像存在几何畸变,导致辐射状靶标在影像上并非标准的扇形圆弧,难以精确获得相同半径(或频率)上的原始灰度信息,从而无法精确计算成像系统MTF(modulation transfer function)值的问题,提出了通过辐射状靶标图像特征点提取和多项式拟合,建立对应的地面坐标和图像坐标间的相互关系,以地面坐标为基准,排除影像的几何畸变,高精度提取圆周灰度信息的方法。结果表明,提出的方法能更准确地提取同频率上的灰度序列,可提高MTF的检测精度。展开更多
提出了一种利用径向速度的Kalman-PDA滤波算法(定义为KalmanV-PDA),在数据关联法(probabilistic data association,PDA)算法和Kalman滤波算法结合使用时,利用径向速度建立速度波门,推导了速度波门表达式,在量测方程中引入径向速度维,利...提出了一种利用径向速度的Kalman-PDA滤波算法(定义为KalmanV-PDA),在数据关联法(probabilistic data association,PDA)算法和Kalman滤波算法结合使用时,利用径向速度建立速度波门,推导了速度波门表达式,在量测方程中引入径向速度维,利用动目标检测(moving targets detection,MTD)测出的径向速度实时更新目标观测值中的径向速度,仿真表明,该算法相比标准的Kalman-PDA滤波算法提高了目标预测精度,改善了目标跟踪性能,而且MTD测速误差对跟踪性能影响较小。展开更多
基金supported by the National Natural Science Foundation of China(6110216561102167)
文摘The acceleration of a high maneuvering target in signal processing is helpful to enhance the performance of the tracker and facilitate the classification of targets. At present, most of the research on acceleration estimation is carried out in cases of a single target with time-frequency analysis methods such as fractional Fourier transform （FRFT）, Hough-ambiguity transform （HAT）, and Wigner-Vil e distribution （WVD）, which need to satisfy enough time duration and sampling theorem. Only one reference proposed a method of acceleration estimation for multiple targets based on modified polynomial phase transform （MPPT） in the lin-ear frequency modulation （LFM） continuous-wave （CW） radar. The method of acceleration estimation for multiple targets in the pulse Doppler （PD） radar has not been reported so far. Compressive sensing （CS） has the advantage of sampling at a low rate and short duration without sacrificing estimation performance. There-fore, this paper proposes a new method of acceleration estimation for multiple maneuvering targets with the unknown number based on CS with pulse Doppler signals. Simulation results validate the effectiveness of the proposed method under several conditions with different duration, measurement numbers, signal to noise ra-tios （SNR）, and regularization parameters, respectively. Simulation results also show that the performance of the proposed method is superior to that of FRFT and HAT in the condition of multiple targets.
文摘针对实际拍摄的靶标影像存在几何畸变,导致辐射状靶标在影像上并非标准的扇形圆弧,难以精确获得相同半径(或频率)上的原始灰度信息,从而无法精确计算成像系统MTF(modulation transfer function)值的问题,提出了通过辐射状靶标图像特征点提取和多项式拟合,建立对应的地面坐标和图像坐标间的相互关系,以地面坐标为基准,排除影像的几何畸变,高精度提取圆周灰度信息的方法。结果表明,提出的方法能更准确地提取同频率上的灰度序列,可提高MTF的检测精度。
文摘提出了一种利用径向速度的Kalman-PDA滤波算法(定义为KalmanV-PDA),在数据关联法(probabilistic data association,PDA)算法和Kalman滤波算法结合使用时,利用径向速度建立速度波门,推导了速度波门表达式,在量测方程中引入径向速度维,利用动目标检测(moving targets detection,MTD)测出的径向速度实时更新目标观测值中的径向速度,仿真表明,该算法相比标准的Kalman-PDA滤波算法提高了目标预测精度,改善了目标跟踪性能,而且MTD测速误差对跟踪性能影响较小。
