For the recognition of high-resolution range profile （HRRP） in radar, the weighted HRRP can reduce the instability of range cells caused by the attitude change of targets. A novel approach is proposed to optimize th...For the recognition of high-resolution range profile （HRRP） in radar, the weighted HRRP can reduce the instability of range cells caused by the attitude change of targets. A novel approach is proposed to optimize the weighted HRRP. In the approach, the separability of weighted HRRPs in different targets is measured by de- signing an objective function, and the weighted coefficients are computed by using the gradient descent method, thus enhancing the influence of stable range cells. Simulation results based on five aircraft models show that the approach can effectively optimize the weighted HRRP and improve the recognition accuracy.展开更多
On the basis of modeling of multiple targets and radar returning signals, a new method for radar range superresolution is introduced in this paper. This method tums the resolution of multiple closely spaced targets in...On the basis of modeling of multiple targets and radar returning signals, a new method for radar range superresolution is introduced in this paper. This method tums the resolution of multiple closely spaced targets into an identification of the target impulse response functions. The least-square (LS) method is then used to estimate impulse resoonse functions of the targets. The concept of radar range resolution probability is also introduced.It is shown from the simulation results that the new superresolution method is much efficient, and has advantages such as having a simple structure, as well as high resolution.展开更多
基金Supported by the Academician Foundation of the 14th Research Institute of China Electronics Technology Group Corporation(2008041001)~~
文摘For the recognition of high-resolution range profile （HRRP） in radar, the weighted HRRP can reduce the instability of range cells caused by the attitude change of targets. A novel approach is proposed to optimize the weighted HRRP. In the approach, the separability of weighted HRRPs in different targets is measured by de- signing an objective function, and the weighted coefficients are computed by using the gradient descent method, thus enhancing the influence of stable range cells. Simulation results based on five aircraft models show that the approach can effectively optimize the weighted HRRP and improve the recognition accuracy.
文摘On the basis of modeling of multiple targets and radar returning signals, a new method for radar range superresolution is introduced in this paper. This method tums the resolution of multiple closely spaced targets into an identification of the target impulse response functions. The least-square (LS) method is then used to estimate impulse resoonse functions of the targets. The concept of radar range resolution probability is also introduced.It is shown from the simulation results that the new superresolution method is much efficient, and has advantages such as having a simple structure, as well as high resolution.
