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42篇 您的检索式:作者名="Penglang Shui"
    题名 作者 年代 出处 被引量
1Unscented extended Kalman filter for target tracking显示文摘A new method of unscented extended Kalman filter (UEKF) for nonlinear system is presented. This new method is a combination of the unscented transformation and the extended Kalman filter (EKF). The extended Kalman filter is similar to that in a conventional EKF. However, in every running step of the EKF the unscented transformation is running, the deterministic sample is caught by unscented transformation, then posterior mean of nonlinearity is caught by propagating, but the posterior covariance of nonlinearity is caught by linearizing. The accuracy of new method is a little better than that of the unscented Kalman filter (UKF), however, the computational time of the UEKF is much less than that of the UKF.Changyun Liu Penglang Shui Song Li 2011Journal of Systems Engineering and Electronics2011,22,2:21
2Particle Filter Based Track-before-detect Algorithm for Over-the-horizon Radar Target Detection and Tracking显示文摘SU Hongtao SHUI Penglang LIU Hongwei BAO Zheng 2009Chinese Journal of Electronics2009,18,1:8
3Modified unscented Kalman filter using modified filter gain and variance scale factor for highly maneuvering target tracking显示文摘To improve the low tracking precision caused by lagged filter gain or imprecise state noise when the target highly maneuvers, a modified unscented Kalman filter algorithm based on the improved filter gain and adaptive scale factor of state noise is presented. In every filter process, the estimated scale factor is used to update the state noise covariance Qk, and the improved filter gain is obtained in the filter process of unscented Kalman filter(UKF)via predicted variance Pk|k-1, which is similar to the standard Kalman filter. Simulation results show that the proposed algorithm provides better accuracy and ability to adapt to the highly maneuvering target compared with the standard UKF.Changyun Liu Penglang Shui Gang Wei Song Li 2014Journal of Systems Engineering and Electronics2014,25,3:8
4Performance analysis of multi-channel order statistics detector for range-spread target显示文摘The problem of two order statistics detection schemes for the detection of a spatially distributed target in white Gaussian noise are studied.When the number of strong scattering cells is known,we first show an optimal detector,which requires many processing channels.The structure of such optimal detector is complex.Therefore,a simpler quasi-optimal detector is then introduced.The quasi-optimal detector,called the strong scattering cells' number dependent order statistics(SND-OS) detector,takes the form of an average of maximum strong scattering cells with a known number.If the number of strong scattering cells is unknown in real situation,the multi-channel order statistics(MC-OS) detector is used.In each channel,a various number of maximums scattered from target are averaged.Then,the false alarm probability analysis and thresholds sets for each channel are given,following the detection results presented by means of Monte Carlo simulation strategy based on simulated target model and three measured targets.In particular,the theoretical analysis and simulation results highlight that the MC-OS detector can efficiently detect range-spread targets in white Gaussian noise.Shuwen Xu Penglang Shui 2012Journal of Systems Engineering and Electronics2012,23,5:5
5Image denoising algorithm via doubly local wiener filtering with directional windows in wavelet domain显示文摘Shui Penglang IEEE Signal Processing Letters0,2005,:1
6Contourlet-based image denoismg algorithm using directional windows显示文摘Zhou Zuofeng Shui Penglang 2007Electronics Letters2007,43,2:1
7Image denoising algorithm via doubly local Wiener filtering with directional windows in wavelet domain显示文摘SHUI PENGLANG 2005IEEE Signal Processing Letters2005,12,10:1
8Unscented extended Kalman filter for target tracking显示文摘Liu Changyun Shui Penglang 2011IEEE Journal of Systems Engineering and Electronics2011,22,2:1
9Noise-robust edge detector com- bining isotropic and anisotropic Gaussian kernels 显示文摘Shui Penglang Zhang Weichuan 2012Pattern Recognition2012,45,2:1
10Image denoising algorithm via doubly local wiener filtering with directional windows in wavelet domain 显示文摘Shui Penglang 2005IEEE Signal Processing Letters2005,10,12:1
11Edge Detector ot SAR Images Using Gaussian Gamma-shaped Bi windows 显示文摘SHUI Penglang CHENG Dong 2012IEEE Geoscience and Remote Sensing Letters2012,9,5:1
12Adaptive beamforming for nonstationary HF interference cancellation in skywave over-the-horizon radar 显示文摘SU Hongtao LIU Hongwei SHUI Penglang 2013IEEE Transactions on Aerospace and Electronic Systems2013,49,1:1
13Range-spread target detection using consecutive HRRPs显示文摘Shui Penglang Xu Shuwen Liu Hongwei 2011IEEE Transactions on Aerospace and Electronic Systems2011,47,1:1
14Rao-Blackwellised Particle Filter Based Track-before-detect Algorithm for Over-the-Horizon Radar Target Detection and Tracking 显示文摘Su Hongtao Shui Penglang Liu Hongwei 2008IET Signal Processing2008,2,2:1
15Image denoising algorithm via doubly local Wiener filtering with directional windows in wavelet domain显示文摘 2005IEEE Signal Processing Letters2005,12,10:1
16CFAR detection of range-spread target in white Gaussian noise using waveform entropy 显示文摘Xu shuwen Shui Penglang Yan Xueying 2010Electronics Letters2010,46,9:1
17Edge detector of SARimages using Gaussian gamma shaped bi-windows显示文摘SHUI Penglang CHEN Dong 2012IEEE Geoscience and Remote Sensing Letters2012,9,5:1
18Contourlet-based Image Denoi-sing Algorithm Using Directional Windows显示文摘Zhou Zuofeng Shui Penglang 2007Electronics Letters2007,43,2:1
19Nonparametric detection of FM signls using time-frequency energy 显示文摘I Shui Penglang Bao Zheng Su Hongtao T 2008Signal processing2008,56,5:1
20Adaptive beamforming for nonstationm-y HF interference cancellation in skywave over-the-horizon radar显示文摘Hongtao LIU Hongwei SHUI Penglang 2013IEEE Transactions on Aerospace and Electronic Systems2013,49,1:1
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