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A data compression technique for scattered fields from complex targets | IEEE Journals & Magazine | IEEE Xplore

A data compression technique for scattered fields from complex targets


Abstract:

A data compression technique to efficiently compress the scattered fields from complex targets is presented. Since at high frequencies the scattered fields from complex r...Show More

Abstract:

A data compression technique to efficiently compress the scattered fields from complex targets is presented. Since at high frequencies the scattered fields from complex radar targets exhibit a highly localized behavior, the data compression technique is based on extracting and then sampling the responses associated with individual scattering mechanisms. The compression technique preserves the angle as well as the frequency variation of individual scattering mechanisms and, thus, leads to small reconstruction error. The proposed technique, however, is a lossy process in the sense that a tradeoff exists between the compression ratio and the data reconstruction error. The smaller the data reconstruction error, the smaller the compression ratio. The effectiveness of the technique is demonstrated by compressing measured scattered fields of a complex target.
Published in: IEEE Transactions on Antennas and Propagation ( Volume: 45, Issue: 8, August 1997)
Page(s): 1245 - 1251
Date of Publication: 31 August 1997

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Cites in Papers - |

Cites in Papers - IEEE (9)

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1.
Hongcheng Yin, Hua Yan, "Parametric Modeling and Applications of Target Scattering Centers: A Review", Journal of Systems Engineering and Electronics, vol.35, no.6, pp.1411-1427, 2024.
2.
Yaotian Zhang, Chen Shi, Shaoming Wei, "A Method of Radar Data Compression Based on Scattering Center Extraction", 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), pp.1-6, 2019.
3.
Xiangyin Quan, Xuan Zhao, Jian Yang, Xiaoyang Xie, Wenzhuo Bao, Bingchen Zhang, Yirong Wu, "3-D Scattering Center Extraction Based on BPDN for Complex Radar Targets", IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, pp.3756-3759, 2019.
4.
Jesus Alvarez, "Near-Field 2-D-Lateral Scan System for RCS Measurement of Full-Scale Targets Located on the Ground", IEEE Transactions on Antennas and Propagation, vol.67, no.6, pp.4049-4058, 2019.
5.
Tayfun Özdemir, Kevin Bi, Santos Campos, Robert J. Burkholder, "Sparse recovery method for order-of-magnitude reduction in RCS measurments", 2018 International Applied Computational Electromagnetics Society Symposium (ACES), pp.1-2, 2018.
6.
Jennifer Halman, Robert J. Burkholder, "Sparse Expansions Using Physical and Polynomial Basis Functions for Compressed Sensing of Frequency Domain EM Scattering", IEEE Antennas and Wireless Propagation Letters, vol.14, pp.1048-1051, 2015.
7.
Hermann Buddendick, Thomas F. Eibert, "Parallelized Physical Optics computations for Scattering Center Models in radio channel simulations", 2010 IEEE Vehicular Networking Conference, pp.64-71, 2010.
8.
Karin Schuler, Denis Becker, Werner Wiesbeck, "Extraction of Virtual Scattering Centers of Vehicles by Ray-Tracing Simulations", IEEE Transactions on Antennas and Propagation, vol.56, no.11, pp.3543-3551, 2008.
9.
W.X. Sheng, D.G. Fang, J. Zhuang, T. Liu, Z.L. Yang, "Comparative study on the data compression in RCS modeling", 2000 5th International Symposium on Antennas, Propagation, and EM Theory. ISAPE 2000 (IEEE Cat. No.00EX417), pp.573-576, 2000.

Cites in Papers - Other Publishers (2)

1.
Jungang Yang, Tian Jin, Chao Xiao, Xiaotao Huang, "Compressed Sensing Radar Imaging: Fundamentals, Challenges, and Advances", Sensors, vol.19, no.14, pp.3100, 2019.
2.
Xiangyin Quan, Bingchen Zhang, Zhengdao Wang, Chao Gao, Yirong Wu, "An efficient data compression technique based on BPDN for scattered fields from complex targets", Science China Information Sciences, vol.60, no.10, 2017.
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