基于超宽带穿墙雷达的目标定位识别算法
doi: 10.3724/SP.J.1146.2009.01575
Target Localization and Identification Algorithm for Ultra Wideband Through-wall Radar
-
摘要: 穿墙目标探测是超宽带脉冲雷达在反恐斗争、灾难救援、城市巷战等方面的一个重要应用。SEABED算法是基于超宽带脉冲雷达的一种新型目标定位识别算法，但其不适用于对障碍物背后的目标进行定位的情况。该文在SEABED算法的基础上，分析SEABED算法在穿墙探测中的不足，提出一种新的定位算法使得SEABED算法能够对目标进行定位识别。该算法假设在近场条件下，利用回波时延差的关系曲线求得入射角，从而结合几何关系消除墙体对传播时延和传播路径的影响，将SEABED算法应用于穿墙成像应用中。仿真结果表明，该算法能够弥补墙体对SEABED算法的影响，精确度高，目标定位识别效果好，达到穿墙探测的目的。Abstract: The Ultra WideBand Short-Pulse (UWB-SP) Radar used for detecting targets is a promising technique in counter-terrorism, calamity rescue scenarios, urban-warfare and other fields as its high range resolution, strong penetrating power and good resolving ability. The detecting of targets through wall is an important application based on UWB-SP Radar. As the 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 offset the influence brought from the wall firstly and then obtain the image of targets behind the wall by using the SEABED algorithm. Simulation results show that the proposed algorithm can remove the effect of the wall visibly and the imaging results can estimate the shape of targets well.
-
Key words:
- UWB-SP Radar /
- Target localization /
- SEABED algorithm /
- Target shape imaging
-
Ahmad 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[2]Wang 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[3]Ahmad 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.[4]Ma 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.[5]Ma 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.[6]Takuya 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[7]Takuya 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.[8]Shouhei 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[9]Takuya Sakamoto. Nonparametric imaging algorithms for UWB pulse radars[D]. Kyoto University, 2005.[10]Shouhei Kidera. High-performance 3-D imaging algorithms for UWB pulse radars[D]. Kyoto University, 2007. -
计量
- 文章访问数: 4095
- HTML全文浏览量: 142
- PDF下载量: 971
- 被引次数: 0
下载:
