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| Content Provider | IET Digital Library |
|---|---|
| Author | Sun, Yanpeng Chen, Li Qu, Lele |
| Abstract | In order to solve the problems of slow imaging speed and poor reconstruction accuracy of wall parameters under the condition of wall parameter fuzziness, an improved limited Broyden–Fletcher–Goldfarb–Shanno-particle swarm optimisation (LBFGS-PSO) algorithm was proposed. The LBFGS-PSO algorithm model solves the problems of slow calculation speed and large errors of the traditional quasi-Newton algorithm and particle swarm algorithm. The algorithm combined with block orthogonal matching pursuit algorithm can not only accurately reconstruct the position of the sidewall, but also can use the multi-path information to accurately reconstruct the moving target and the stationary target. Compared with the traditional BFGS algorithm and PSO algorithm, the proposed algorithm can reduce the calculation time and provide more accurate estimation results. Simulation results and data analysis verify the performance of the proposed algorithm. |
| Starting Page | 1903 |
| Ending Page | 1908 |
| Page Count | 6 |
| ISSN | 17519659 |
| Volume Number | 13 |
| e-ISSN | 17519667 |
| Issue Number | Issue 11, Sep (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/13/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5670 |
| Journal | IET Image Processing |
| Publisher Date | 2019-07-02 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Block Orthogonal Matching Pursuit Algorithm Computer Vision And Image Processing Technique Data Analysis Gradient Method Image Motion Analysis Image Reconstruction Improved Limited Broyden–Fletcher–Goldfarb–Shanno-particle Swarm Optimisation Algorithm Interpolation And Function Approximation Iterative Method LBFGS-PSO Algorithm Model Moving Target Newton Method Numerical Analysis Object Detection Optical, Image And Video Signal Processing Optimisation Technique Particle Swarm Algorithm Particle Swarm Optimisation Poor Reconstruction Accuracy QuasiNewton Algorithm Radar Equipment Radar Imaging Slow Calculation Speed Slow Imaging Speed Stationary Target System And Application Through-the-wall Radar Imaging Algorithm Traditional BFGS Algorithm Wall Parameter Wall Parameter Fuzziness Wall Parameter Uncertainties |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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