AN EXPERIMENTAL STUDY OF ENHANCEMENT OF THE CROSS-RANGE RESOLUTION OF ISAR IMAGING USING ISDB-T DIGITAL TV BASED PASSIVE BISTATIC RADAR

被引:16
|
作者
Nakamura, Shohei [1 ]
Suwa, Kei [1 ]
Morita, Shinichi [1 ]
Yamamoto, Kazuhiko [1 ]
Wakayama, Toshio [1 ]
Oshima, Tadashi [2 ]
Maekawa, Ryoji [2 ]
Matsuda, Shoji [2 ]
机构
[1] Mitsubishi Electr Corp, Informat Technol R&D Ctr, Tokyo, Japan
[2] Mitsubishi Electr Corp, Commun Syst Ctr, Tokyo, Japan
关键词
Passive Bistatic Radar; PBR; ISAR; Invserse Synthetic Aperture Radar;
D O I
10.1109/IGARSS.2011.6049805
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Passive bistatic radars (PBRs) exploit existing transmitters such as TV broadcasts, radio broadcasts, Global Navigation Satellite System (GNSS), etc., as the source of illumination. PBR consists of two receivers, with one antenna pointed at the source and the other at the target, and the target range is determined by correlating the signal scattered by the target with the signal directly arrived at the receiver. Since PBR dode not transmit any wave form, it consumes lower power, and no frequency allocation is required. We are investigating the tharget imaging capability of PBR. In This paper an experimental study on obtaining Inverse Synthetic Aperture Radar (ISAR) image with cross-range resolution of a few meters, using terrestrial digital TV baseb PBR. In this study, we conducted a field experiment to observe some aircraft targets. Due to the relatively low frequency band employed by the digital TV broadcast system, a very wide synthetic aperture angle is required to obtain a few meters cross-range resolution. Using the data acquired in the experiment, we show the limit of the range Doppler processing approach and we investigate the advantage of the Polar Format Algorithm (PFA). We also discuss the issue on autofocus and show results of initial study on autofocus algorithms.
引用
收藏
页码:2837 / 2840
页数:4
相关论文
共 8 条
  • [1] ISAR IMAGING OF AN AIRCRAFT TARGET USING ISDB-T DIGITAL TV BASED PASSIVE BISTATIC RADAR
    Suwa, Kei
    Nakamura, Shohei
    Morita, Shinichi
    Wakayama, Toshio
    Maniwa, Hisakazu
    Oshima, Tadashi
    Maekawa, Ryoji
    Matsuda, Shoji
    Tachihara, Takanori
    2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 4103 - 4105
  • [2] Advances in ISAR processing for High Resolution Cross-Range Profiling with Passive Radar
    Falcone, Paolo
    Colone, Fabiola
    Macera, Antonio
    Pastina, Debora
    Lombardo, Pierfrancesco
    2012 13TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2012, : 421 - 425
  • [3] Improved cross-range resolution in TOPSAR imaging using Sentinel-1A in bistatic operation
    Kubica, Virginie
    Neyt, Xavier
    Griffiths, Hugh
    2015 IEEE INTERNATIONAL RADAR CONFERENCE (RADARCON), 2015, : 117 - 122
  • [4] WiFi-Based Passive ISAR for High-Resolution Cross-Range Profiling of Moving Targets
    Colone, Fabiola
    Pastina, Debora
    Falcone, Paolo
    Lombardo, Pierfrancesco
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (06): : 3486 - 3501
  • [5] Passive bistatic inverse synthetic aperture radar imaging and cross-range scaling of maneuvering target based on a noise-resistant parameters estimation algorithm
    Xu, Liang
    Jiang, Yicheng
    Wang, Yong
    JOURNAL OF APPLIED REMOTE SENSING, 2022, 16 (02)
  • [6] Cross-range resolution improvement in forward-looking imaging radar using autoregressive model-based data extrapolation
    Cho, Byung-Lae
    Sun, Sun-Gu
    IET RADAR SONAR AND NAVIGATION, 2015, 9 (08): : 933 - 941
  • [7] Cross-Range Resolution Enhancement for DBS Imaging in a Scan Mode Using Aperture-Extrapolated Sparse Representation
    Chen, Hongmeng
    Li, Ming
    Wang, Zeyu
    Lu, Yunlong
    Cao, Runqing
    Zhang, Peng
    Zuo, Lei
    Wu, Yan
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 14 (09) : 1459 - 1463
  • [8] Kurtosis-based estimation of cross-range scaling factor for high-resolution inverse synthetic aperture radar imaging
    Phan, An
    Ng, Brian
    Tran, Hai-Tan
    JOURNAL OF APPLIED REMOTE SENSING, 2016, 10