• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >2-D Joint Sparse Reconstruction and Micro-Motion Parameter Estimation for Ballistic Target Based on Compressive Sensing
【2h】

2-D Joint Sparse Reconstruction and Micro-Motion Parameter Estimation for Ballistic Target Based on Compressive Sensing

机译：基于压缩感测的弹道目标的2-D关节重建与微观运动参数估计

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The sparse frequency band (SFB) signal presents a serious challenge to traditional wideband micro-motion curve extraction algorithms. This paper proposes a novel two-dimension (2-D) joint sparse reconstruction and micro-motion parameter estimation (2D-JSR-MPE) algorithm based on compressive sensing (CS) theory. In this technique, the 2D-JSR signal model and the micro-motion parameter dictionary are established based on the segmented SFB echo signal, in which the idea of piecewise effectively reduces the model complexity of ballistic target. With the accommodation of the CS theory, the 2D-JSR-MPE of the echo signal is transformed into solving a sparsity-driven optimization problem. Via an improved orthogonal matching pursuit (OMP) algorithm, the high-resolution range profiles (HRRP) can be reconstructed accurately, and the precise micro-motion curves can be simultaneously extracted on phase accuracy. The employment of 2-D joint processing can effectively avoid the interference of the sparse reconstruction error caused by cascaded operation in the subsequent micro-motion parameter estimation. The proposed algorithm benefits from the anti-jamming characteristic of the SFB signal and 2-D joint processing, thus remarkably enhancing its accuracy, robustness and practicality. Extensive experimental results are provided to verify the effectiveness and robustness of the proposed algorithm.
机译：稀疏频带（SFB）信号对传统的宽带微观运动曲线提取算法提出了严峻的挑战。本文提出了一种基于压缩感测（CS）理论的新型二维（2-D）联合重建和微动参数估计（2D-JSR-MPE）算法。在该技术中，基于分段的SFB回波信号建立2D-JSR信号模型和微动参数字典，其中分段的思想有效地降低了弹道目标的模型复杂性。随着CS理论的容纳，回声信号的2D-JSR-MPE被转换为解决稀疏性驱动的优化问题。通过改进的正交匹配追踪（OMP）算法，可以精确地重建高分辨率范围轮廓（HRRP），并且可以在相位精度上同时提取精确的微观运动曲线。 2-D联合处理的就业可以有效地避免在随后的微动参数估计中级联操作引起的稀疏重建误差的干扰。所提出的算法利用SFB信号的抗干扰特性和2-D联合加工，从而显着提高其准确性，鲁棒性和实用性。提供了广泛的实验结果，以验证所提出的算法的有效性和鲁棒性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号