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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shunsheng Zhang Wei Zhang Zhulin Zong Zhong Tian Tat Soon Yeo |
| Copyright Year | 1963 |
| Abstract | The theory of compressed sensing (CS) states that an unknown sparse signal can be accurately recovered from a limited number of measurements by solving a sparsity-constrained optimization problem. In this paper, we present a new framework of high-resolution bistatic inverse synthetic aperture radar (Bi-ISAR) imaging based on CS. A phase-preserved CS approach for high-range resolution imaging is proposed. The phase of a Bi-ISAR signal can be extracted by constructing a phase-preserved Fourier basis, which is crucial to azimuth processing of Bi-ISAR imaging. After performing CS reconstruction in range, we present an improved version of CS-based cross-range imaging by combining modified Fourier basis and weighting with CS optimization. Simulated data are used to test the robustness of the Bi-ISAR imaging framework with two-dimensional (2-D) CS method. The results show that the framework is capable of accurate reconstruction of Bi-ISAR image in both range and cross-range. |
| Sponsorship | IEEE Antennas and Propagation Society |
| Starting Page | 2098 |
| Ending Page | 2111 |
| Page Count | 14 |
| File Size | 1890493 |
| File Format | |
| ISSN | 0018926X |
| Volume Number | 63 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Imaging Image reconstruction Radar imaging Scattering Signal resolution Signal to noise ratio Image resolution modified Fourier basis Compressed sensing (CS) bistatic inverse synthetic aperture radar (Bi-ISAR) high-resolution phasepreserved phase-preserved Bistatic inverse synthetic aperture radar (Bi-ISAR) compressed sensing (CS) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Condensed Matter Physics Electrical and Electronic Engineering |
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