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一种新型超宽带穿墙雷达运动目标跟踪成像算法 被引量：2

A New Tracking and Imaging Algorithm of Moving Target for Ultra Wideband Through Wall Radar
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摘要 近场区域的非接触式穿墙目标跟踪成像探测是超宽带脉冲雷达在火灾救援、安全保卫、城市巷战以及生命威胁等方面的一个重要应用。基于超宽带脉冲雷达的边界散射变换和直接散射波形提取的边界估计算法(SEABED)由于其不适用于穿墙条件下运动目标的成像与跟踪的情况,该文结合SEABED算法的成像原理,提出回波时延差关系曲线概念从而利用三角定位原理和坐标转换实现运动目标的成像与跟踪。文中提出的算法假设在近场条件下,针对运动目标场景建立系统模型,通过成像结果和速度值的同时估计,对墙体背后的运动目标的边界和轨迹进行有效估计。仿真结果表明,该算法能够弥补墙体对目标回波的影响,精确度高,达到穿墙目标跟踪成像探测的目的。 The Ultra Wide-Band Short-Pulse（UWB-SP） radar used for detecting targets is a promising technique in fire rescue operations,police awareness,urban-warfare,life-threatening and other fields,and it can be used for noncontact measurement of the tracking and imaging of moving target behind walls.As the Shape Estimation Algorithm based on BST（Boundary Scattering Transform） and Extraction of Directly scattered waves（SEABED） algorithm（a new target localization and identification algorithm） based on the UWB-SP radar is not applicable for that application,this paper proposes a new algorithm to obtain the target shape imaging and track it synchronously using triangle localization method and the difference of time delay.In this paper,the proposed algorithm based on a system model built in the near field can effectively estimate the velocity and track of moving target with the imaging result.Simulation results show that the effect of the wall can be removed visibly and the purpose of the imaging and tracking of moving target can be realized well.
作者 吴世有 陈洁 孟升卫 方广有 阴和俊
机构地区 中国科学院电子学研究所 中国科学院研究生院 中国科学院
出处 《电子与信息学报》 EI CSCD 北大核心 2012年第1期134-139,共6页 Journal of Electronics & Information Technology
基金 国家重点基础研究发展计划项目(2010CB73190103)资助课题
关键词 超宽带脉冲雷达 运动目标 跟踪成像 基于边界散射变换和直接散射波形提取的边界估计算法(SEABED) 时延差曲线 Ultra Wide-Band Short-Pulse（UWB-SP） radar Moving target Tracking and imaging Shape Estimation Algorithm based on BST（Boundary Scattering Transform） and Extraction of Directly scattered waves（SEABED） algorithm Difference of time delay
分类号 TN957.52 [电子电信—信号与信息处理]
  • 相关文献

参考文献11

  • 1Takuya Sakamoto. A 2-D image stabilization algorithm for UWB pulse radars with fractional boundary scattering transform[J]. IEICE Transactions on Communications, 2007, E90-B(1): 131-139.
  • 2Takuya Sakamoto and Toru Sato. A target shape estimation algorithm for pulse radar systems based on boundary scattering transform[J]. IEICE Transactions on Communications, 2004, E87-B(5): 1357-1365.
  • 3Shouhei Kidera, Takuya Sakamoto, Satoshi Sugino, et al.. An accurate imaging algorithm with scattered waveform estimation for UWB pulse radars[J]. IEICE Transactions on Communications, 2006, E89-B(9): 2588-2595.
  • 4Shouhei Kidera, Takuya Sakamoto, and Toru Sato. Accurate UWB radar three-dimensional imaging algorithm for a complex boundary without range point connections[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(4): 1993-2004.
  • 5Shouhei Kidera. High-performance 3-D imaging algorithms for UWB pulse radars[D]. Kyoto University, 2007.
  • 6Zhuge Xiao-dong, Yarovoy A G, Savelyev Timofey, et al.. Modified Kirchhoff migration for UWB MIMO array-based radar imaging[J]. IEEE Transcations on Geoscience and Remote Sensing, 2010, 48(6): 2692-2703.
  • 7Yarovoy A G, Savelyev T G, Aubry P J, et al.. array-based sensor for near-field imaging[J]. Transactions on Microwave Theory and Techniques 55(6): 1288-1295. UWB IEEE 2007.
  • 8Burkholder R J and Browne K E. Coherence Factor Enhancement of Through-Wall Radar Images[J]. IEEE Antennas and Wireless Propagation Letter, 2010, 9: 842-845.
  • 9Ma Lin, Zhang Zhong-zhao, and Tan Xue-zhi. Two-step imaging method and resolution analysis for UWB through wall imaging[C]. IEEE 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCoM'08, Dalian China, Oct. 12-17, 2008: 1-5.
  • 10吴世有,黄琼,陈洁,孟升卫,方广有,阴和俊.基于超宽带穿墙雷达的目标定位识别算法[J].电子与信息学报,2010,32(11):2624-2629. 被引量：9

二级参考文献20

  • 1Takuya Sakamoto. A 2-D Image stabilization algorithm for UWB pulse radars with fractional boundary scattering transform[J]. IEICE Transactions on Communications, 2007, E90-B(1): 131-139.
  • 2Takuya Sakamoto and Toru Sato. A target shape estimation algorithm for pulse radar systems based on boundary scattering transform[J]. IEICE Transactions on Communications, 2003, E87-B(5): 1357-1365.
  • 3Shouhei Kidera, Takuya Sakamoto, Satoshi Sugino, and Toru Sato. An accurate imaging algorithm with scattered waveform estimation for UWB pulse radars[J]. IEICE Transactions on Communications, 2006, E89-B(9): 2588-2595.
  • 4Takuya Sakamoto. Nonparametric imaging algorithms for UWB pulse radars[D]. Kyoto University, 2005.
  • 5Shouhei Kidera. High-performance 3-D imaging algorithms for UWB pulse radars[D]. Kyoto University, 2007.
  • 6Ahmad F, Zhang Yi-min, and Amin M G. Three-dimensional wideband beamforming for imaging through a single wall[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(2): 176-179.
  • 7Wang Gen-yuan and Amin M G. Imaging through unknown walls using different standoff distances[J]. IEEE Transactions on Signal Processing, 2006, 54(10): 4015-4025.
  • 8Ahmad F and Amin M G. Through-the-wall ploarimetric imaging[C]. Algorithms for Synthetic Aperture Radar Imagery XV, 2008, Proc. of SPIE Vol. 6970: 69700N-1-69700N-10.
  • 9Ma Lin, Zhang Zhong-zhao, and Tan Xue-zhi. A novel through-wall imaging method using ultra wideband pulse system[C]. IEEE International Conference on Intelligent Information Hiding and Multimedia Signal Processing,Pasadena, 2006: 147-150.
  • 10Ma Lin, Zhang Zhong-zhao, and Tan Xue-zhi. Two-step imaging method and resolution analysis for UWB through wall imaging[J]. IEEE Networking and Mobile Computing, 2008.8: 548-553.

共引文献16

同被引文献19

  • 1Moeness G. Amin, Through-the-wall Radar Imaging[M].Boca Raton: CRC press, USA, 2010: 121-156.
  • 2Browne K E, Burkholder R J, and Volakis J L. Fast optimization of through-wall radar images via the method of lagrange multipliers[J]. IEEE Transactions on Antennas and Propagation, 2013, 61(1): 320-328.
  • 3Drbes C, Zoubir A M, and Amin M G. Enhanced detection using target polarization signatures in through-the-wall radar imaging[J]. IEEE Transactions on Geoscienceand Remote Sensing, 2012, 50(5): 1968-1978.
  • 4Wang Y Z mid Fathy A E. Advanced system level simulation platform for three-dimensional UWB through-wall imaging SAR using time-domain approach[J]. IEEE Transactions on Geoscienceand Remote Sensing, 2012, 50(5): 1986-2000.
  • 5Lu Bi-ying, Sun Xin, Yang Zhao, et al. Phase coherence factor for mitigation of sidelobe artifacts in through-the-wall radar imaging[J]. Journal of Electromagnetic Waves and Applications, 2013, 27(6): 716-725.
  • 6Bliss D W and Forsythe K W. Multiple-input multiple-output (MIMO) radar and imaging: degrees of freedom and resolution[C]. Proceedings of the 37th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, 2003: 54-59.
  • 7Fishler E, Haimovich A M, Blum R S, et al. MIMO radar: an idea whose time has come[C]. Proceedings of IEEE Radar Conference, Philadelphia, 2004: 71-78.
  • 8Muqaibel A and Safaal-jazi A. Characterization of wall dispersive and attenuative effects on UWB radar signals[J]. Journal of the Franklin Institute, 2008, 345(6): 640-658.
  • 9Janis A, Nilsson S, Huss L G, et al. Through-the-wall imaging measurements and experimental characterization of wall materials[C]. Proceedings of Military Remote Sensing, Bellingham, 2004: 67-75.
  • 10Soldovieri F. A simple strategy to detect changes in through the wall imaging[J]. Progress in Electromagnetic Research M, 2009, 7(3): 1-13.

引证文献2

二级引证文献8

电子与信息学报
2012年 第1期

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