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-Ville 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 linear 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. Therefore, 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 ratios(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
Based on the information theory,the performance of maneuvering target tracking can be improved by increasing the input information( observation vector).In this paper,the estimations of radial acceleration and radial v...Based on the information theory,the performance of maneuvering target tracking can be improved by increasing the input information( observation vector).In this paper,the estimations of radial acceleration and radial velocity obtained in the signal processing are introduced into the measurement vector by coordinate transformation.In order to solve the problem of high nonlinearity of the radial acceleration,radial velocity and the state vector,a new algorithm of multi-parameter sequential extended Kalman filter( MSEKF) is proposed.The tracking performance of this algorithm is tested and compared with the other tracking algorithms.It is shown that the proposed algorithm outperforms these algorithms in strong and weak maneuvering environments.展开更多
The problem of radar target recognition using range profiles is investigated in this paper, based on a Radial Basis Function Network(RBFN). A preprocessing method is proposed, which performs amplitude average of the r...The problem of radar target recognition using range profiles is investigated in this paper, based on a Radial Basis Function Network(RBFN). A preprocessing method is proposed, which performs amplitude average of the range profiles to obtain more stable patterns. After pointing out the limitedness of traditional empirical formula, this paper also gives a method of estimating the shape parameter a of a Gaussian kernel function according-to spatial distribution of the training samples. It is shown that the method proposed in this paper offers promise for target recognition, from both the theoretical analysis and the experimental results of rotating platform imaging based on data acquired in a microwave anechoic chamber.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
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-Ville 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 linear 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. Therefore, 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 ratios(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.
基金National Natural Science Foundations of China(Nos.61531020,61471383)
文摘Based on the information theory,the performance of maneuvering target tracking can be improved by increasing the input information( observation vector).In this paper,the estimations of radial acceleration and radial velocity obtained in the signal processing are introduced into the measurement vector by coordinate transformation.In order to solve the problem of high nonlinearity of the radial acceleration,radial velocity and the state vector,a new algorithm of multi-parameter sequential extended Kalman filter( MSEKF) is proposed.The tracking performance of this algorithm is tested and compared with the other tracking algorithms.It is shown that the proposed algorithm outperforms these algorithms in strong and weak maneuvering environments.
基金Supported by Foundation of Electronic Science Institute,Ministry of Electronic Industry
文摘The problem of radar target recognition using range profiles is investigated in this paper, based on a Radial Basis Function Network(RBFN). A preprocessing method is proposed, which performs amplitude average of the range profiles to obtain more stable patterns. After pointing out the limitedness of traditional empirical formula, this paper also gives a method of estimating the shape parameter a of a Gaussian kernel function according-to spatial distribution of the training samples. It is shown that the method proposed in this paper offers promise for target recognition, from both the theoretical analysis and the experimental results of rotating platform imaging based on data acquired in a microwave anechoic chamber.
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。
