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Volume 38 Issue 3
Mar.  2016
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MENG Ziqiang, LI Yachao, XING Mengdao, BAO Zheng. Phase Space-variance Correction Method for Missile-borne Bistatic Forward-looking SAR Based on Equivalent Range Equation[J]. Journal of Electronics & Information Technology, 2016, 38(3): 613-621. doi: 10.11999/JEIT150782
Citation: MENG Ziqiang, LI Yachao, XING Mengdao, BAO Zheng. Phase Space-variance Correction Method for Missile-borne Bistatic Forward-looking SAR Based on Equivalent Range Equation[J]. Journal of Electronics & Information Technology, 2016, 38(3): 613-621. doi: 10.11999/JEIT150782

Phase Space-variance Correction Method for Missile-borne Bistatic Forward-looking SAR Based on Equivalent Range Equation

doi: 10.11999/JEIT150782
Funds:

The National Natural Science Foundation of China (61001211, 61303035, 61471283), Fundamental Research Funds for the Central Universities (K5051202016)

  • Received Date: 2015-06-29
  • Rev Recd Date: 2015-12-02
  • Publish Date: 2016-03-19
  • As a new and special bistatic SAR imaging mode, Missile-borne Bistatic Forward-Looking SAR (MBFL-SAR) can perform Two-Dimensional (2D) imaging during the terminal diving period of missile. However, double square root and high order terms in range history make it difficult to obtain its 2D frequency spectrum effectively. The changing heights and different velocities of the transmitter and the receiver yield to the space variant characteristic of echo signal phase. This paper presents a phase space-variance correction method for MBFL-SAR based on the revised equivalent range equation. In this method, the range equation containing double square root and high order terms is equivalent and simplified to one only containing single square root, based on which 2D frequency spectrum with high precision is gained using the principle of stationary phase. Then, the space variant phase terms of 2D frequency spectrum are compensated accurately through high order polynomial fitting, followed by the focus of the imaging scene. This method can perform imaging with high precision and is more efficient than the traditional algorithm. Finally, the simulation experiments validate the effectiveness of the proposed algorithm.
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