同軌雙基SAR成像算法研究
[Abstract]:Different from the traditional monostatic SAR, the receiver and transmitter of Bistatic Synthetic Aperture Radar (BiSAR) are placed on different moving platforms, and the transmitter and receiver can have different spatial positions and velocities. In many bistatic SAR configurations, the transmitter and receiver of the same-orbit bistatic SAR fly along the same track at the same speed in a uniform straight line. The bistatic SAR formation configuration of this system is relatively simple, easy to implement in engineering, and has a broad application prospect in the detection of ground moving targets. Based on this, the two-dimensional spectral accuracy of bistatic SAR targets with homoorbital configuration and the imaging algorithm under different modes of homoorbital configuration are studied in this paper.
1. Theoretically, the target spectrum of LBF (Loffeld's bistatic formula) bistatic SAR is suitable for any bistatic configuration, but its spectral accuracy varies with different parameter configurations under specific bistatic configuration. For the same-orbit bistatic SAR configuration, this paper uses mathematical method to analyze it with a rigorous bistatic target 2. Two constraints affecting the accuracy of LBF bispectrum are deduced by comparing and analyzing the two-dimensional spectrum, that is, whether the cosine value of the half-bispectrum angle and the ratio of the half-baseline length to the nearest distance from the target to the route are equal to the tangent value of the half-bispectrum angle. The LBF spectra are completely strictly analytic when the ratio of the near distance to the tangent of the half-bistatic angle is satisfied simultaneously. Among the two constraints affecting the spectral accuracy, the spectral accuracy of the LBF bistatic spectrum is more sensitive to the variation of the cosine of the half-bistatic angle, and is not directly affected by the baseline length and the angle of inclination. The influence of various factors on the accuracy of LBF spectrum is discussed in detail through simulation experiments.
2. A chirp scaling (CS) imaging algorithm based on rigorous analysis of two-dimensional spectrum of bistatic SAR targets in the same orbit configuration is proposed to solve the problem of envelope migration of bistatic SAR in strip mode. High-precision bistatic spectrum makes the proposed algorithm insensitive to baseline length and can process homo-orbital bistatic SAR data with large bistatic angle and long baseline. Simulation and contrast experiments show the effectiveness and superiority of the proposed algorithm.
3. Aiming at the range migration and the spatial variability of the second Range Compression (SRC) of the bistatic SAR target in the case of large squint, a nonlinear CS (Nonlinear Chirp Scaling Algorithm, NCSA) imaging algorithm for the bistatic SAR target with the same orbit configuration is proposed based on the strict analysis of the two-dimensional spectrum of the bistatic SAR target. For CS imaging algorithm with small squint angle, the nonlinear CS algorithm not only considers the change of modulation frequency with Doppler frequency, but also considers the linear change of modulation frequency with range. It achieves the accurate compensation of SRC in homo-orbital bistatic SAR, and achieves satisfactory focusing effect.
4. For homo-orbital bistatic SAR configurations in spotlight mode, a new frequency scaling (FS) imaging algorithm for homo-orbital bistatic SAR is proposed based on the rigorous analytical method of semi-bistatic angle and spectrum. Firstly, the deramp function for bi-orbital bistatic SAR is derived by analogizing the single-orbital case. The coarse focusing of azimuth can effectively eliminate the aliasing problem in azimuth direction of the system. Then, based on the two-dimensional spectrum of bistatic SAR target, a FS imaging algorithm suitable for spotlight bistatic SAR is proposed to correct the range migration of the target. FS algorithm uses phase multiplication instead of interpolation. The precise bistatic spectrum enables the proposed algorithm to process data in the case of long baseline. Simulation results show the effectiveness of the proposed algorithm. In addition, an improved frequency based on strictly analytic bistatic spectrum is proposed for the space-variant problem of SRC in the case of large squint. Rate-varying scaling algorithm eliminates the range-varying quadratic range compression term caused by large squint by nonlinear scaling operation. Simulation results show that the improved algorithm can achieve good target imaging and the main and side lobes of point target impulse response can be clearly distinguished compared with the conventional FS algorithm.
【學位授予單位】:西安電子科技大學
【學位級別】:博士
【學位授予年份】:2014
【分類號】:TN957.52
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