Abstract
With the rapid development of the one-stationary bistatic forward-looking synthetic aperture radar (OS-BFSAR) technology, the huge amount of the remote sensing data presents challenges for real-time imaging processing. In this paper, an efficient time-domain algorithm (ETDA) considering the motion errors for the OS-BFSAR imaging processing, is presented. This method can not only precisely handle the large spatial variances, serious range-azimuth coupling and motion errors, but can also greatly improve the imaging efficiency compared with the direct time-domain algorithm (DTDA). Besides, it represents the subimages on polar grids in the ground plane instead of the slant-range plane, and derives the sampling requirements considering motion errors for the polar grids to offer a near-optimum tradeoff between the imaging precision and efficiency. First, OS-BFSAR imaging geometry is built, and the DTDA for the OS-BFSAR imaging is provided. Second, the polar grids of subimages are defined, and the subaperture imaging in the ETDA is derived. The sampling requirements for polar grids are derived from the point of view of the bandwidth. Finally, the implementation and computational load of the proposed ETDA are analyzed. Experimental results based on simulated and measured data validate that the proposed ETDA outperforms the DTDA in terms of the efficiency improvement.
Highlights
Nowadays, the synthetic aperture radar (SAR) has a major advantage for the high resolution imaging processing in all time and all weather conditions, and plays a very significant role in remote sensing, geosciences, surveillance and reconnaissance applications, and it is widely investigated in both civilian and military fields [1,2,3,4,5,6].Bistatic forward-looking SAR (BFSAR) [7] is a special bistatic SAR (BSAR) system [8,9], where the radar system works in the forward-looking mode compared with the traditional BSAR system working in the side-looking mode
To our knowledge, the efficient time-domain algorithm (ETDA) for the OS-BFSAR imaging processing has hardly been investigated in earlier publications, it may still be desirable for practical OS-BFSAR data processing. Based on these previous works, this paper explores an ETDA considering motion errors for the OS-BFSAR imaging processing based on the subaperture and polar grid processing
In order to further prove the feasibility of the proposed ETDA, the measured data acquired by a real OS-BFSAR system are processed by the two algorithms, and the imaging results are shown and analyzed
Summary
The synthetic aperture radar (SAR) has a major advantage for the high resolution imaging processing in all time and all weather conditions, and plays a very significant role in remote sensing, geosciences, surveillance and reconnaissance applications, and it is widely investigated in both civilian and military fields [1,2,3,4,5,6]. All the developments of the monostatic FBPA converged into the FFBPA [36], which is an optimum method benefiting from the multiple stage factorizations working in an efficient geometry in terms of the image sampling These ETDAs are based on the subaperture processing techniques, which can keep all the advantages of the DTDA but with a reduced computational load. Based on these previous works, this paper explores an ETDA considering motion errors for the OS-BFSAR imaging processing based on the subaperture and polar grid processing This method represents the subimages on polar grids in the ground plane instead of the slant-range plane, and it is referenced to the positions of both moving and stationary radars.
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