One-dimensional Augmented State Space Method for Sparse Representation of Radar Scattering Characteristics of Complex Targets
A radar scattering and complex target technology, applied in the direction of re-radiation, radio wave reflection/re-radiation, instruments, etc., can solve the problems of low operating efficiency and inaccurate pairing of poles
Active Publication Date: 2021-07-30
BEIHANG UNIV
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[0015] The technical problem to be solved by the present invention: Aiming at the problems such as the low operating efficiency of the existing complex target sparse representation method and the inaccurate pairing of poles, the present invention proposes a one-dimensional augmented state space method, including: (1) construction dimension The one-dimensional augmented Hankel matrix with a small number replaces the quadratic augmented Hankel matrix, so that the parameter solution efficiency is significantly improved compared with 2D-ESPRIT, 2D-SSA and other algorithms; The pairing strategy replaces the simultaneous pairing of poles in all directions, which solves the problem of inaccurate pairing of poles when the horizontal and vertical position parameters are repeated or similar to a certain extent, and improves the accuracy of model reconstruction
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[0119] Embodiment result is as follows:
[0120] (1) Comparative analysis of pole pair positions: Figure 4 (a), Figure 4 (b), Figure 4 (c) Respectively represent the geometric positional relationship of the reconstructed poles in the target ISAR image by the three methods (the black dots in the figure are the estimated scattering center positions). 2D-ESPRIT can more accurately match the position of the main scattering center of the target ( Figure 4 The position with the deepest color of the mid-high line), and for the densely distributed and relatively weak scattering centers, due to the close intensity and similar phase, both algorithms have obvious pole mismatch and missing match phenomenon. Comparing the two methods, the correct rate of pole pairing in the method proposed by the present invention is significantly higher than that of the former two methods due to the column-by-column adaptive search matching strategy. Figure 5 It is the result of increasing the nu...
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The invention discloses a one-dimensional augmented state space method for the sparse representation of radar scattering characteristics of complex targets, comprising the steps of: solving the lateral pole matrix - constructing a one-dimensional augmented Hankel matrix, and adopting the state space method to solve the lateral pole Matrix; two-dimensional pole adaptive pairing - least squares to solve the longitudinal pairing matrix, and perform one-dimensional state space to solve the longitudinal pole parameters column by column of the pairing matrix. Compared with the existing methods, the method proposed by the invention has higher feature reconstruction precision and algorithm operation efficiency.
Description
technical field [0001] The invention relates to the technical field of characterization of target radar scattering characteristics, in particular to a one-dimensional augmented state space method for sparse characterization of complex target radar scattering characteristics. Background technique [0002] The theory of electromagnetic scattering centers shows that the radar scattering characteristics of targets can be characterized by a small number of isolated scattering centers, that is, the number of interesting scattering centers acquired by SAR imaging is often much smaller than the sampling data required to invert these scattering centers. Therefore, for complex targets On the one hand, the radar echo with high sampling rate and large amount of data can be denoised, compressed and reconstructed to relieve the pressure of traditional high-resolution radar data transmission and storage. On the other hand, the parameters of the sparse representation include the position an...
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IPC IPC(8): G01S13/90G01S7/41
CPCG01S7/41G01S13/90G01S13/9011G01S13/9027
Inventor 吴科江许小剑
Owner BEIHANG UNIV