空间立体阵星载SAR杂波抑制技术研究
[Abstract]:Synthetic Aperture Radar (Synthetic Aperture Radar,SAR) is a new type of space-based radar which is developed after World War II. It is mainly used in airborne and spaceborne platforms. Spaceborne SAR system is mainly composed of several satellite radars in a certain space configuration. Compared with conventional SAR system, spaceborne SAR system has many advantages, such as high degree of freedom in space, low system complexity, various working modes, and so on. In the actual spaceborne SAR scene, the clutter shows a non-stationary range, and the range walk between the target and the SAR system in a coherent accumulation interval (Coherent Processing Intervals,CPI) exceeds a range unit (known as the long CPI mode). Based on this, the spectral characteristics of moving targets and clutter are studied after the establishment of stereo array SAR target and clutter echo signal model, and the range nonstationary clutter suppression algorithm and the clutter suppression technique under long CPI mode are studied. The main contents and achievements of this paper are as follows: (1) the echo signal model and moving target model of target and clutter in space-borne spaceborne SAR system are studied, and the effects of target motion on range migration, Doppler frequency and Doppler modulation frequency are discussed. The generation mechanism of clutter and the source of clutter in echo signal are analyzed, and the probability density of clutter with different distribution is discussed. It is concluded that K-distributed clutter can effectively simulate other kinds of clutter. The spherical invariant random process method is used to generate K-distributed clutter to suppress the algorithm. (2) Space-time adaptive processing (Space Time Adaptive Processing,STAP) algorithm and dimensionality reduction method for space-time adaptive processing of spaceborne SAR systems with space stereoscopic array are studied in the background of non-stationary clutter. Firstly, the space-time characteristic of clutter is analyzed, and the effectiveness of conventional STAP algorithm to suppress non-stationary clutter is studied. The spectral characteristics of the range nonstationary clutter and its influence on the echo signal are studied. It is found that the spectrum characteristics of the non-stationary clutter are related to the pitching information. According to the characteristics of radar configuration of stereo array system, the conventional STAP algorithm is extended to three dimensional (azimuth)-time-air (pitch) STAP algorithm. The suppression of non-stationary clutter is realized by using the additional target information and pitch dimension information of clutter in echo signal. The simulation results show that 3D STAP algorithm can suppress the non-stationary clutter in distance. The performance of the local joint processing (Joint Domain Localized-JDL) method and the first time posterior space adaptive (3DT-STAP) method in reducing the computational complexity and ensuring the output signal-to-noise ratio (Signal Interference Noise Ratio,SINR) is studied. (3) the differences between the signal spectrum of the SAR system with long CPI and short CPI mode are studied. After studying the spectral characteristics of clutter, it is found that the conventional STAP technique is no longer applicable. The whole space-time signal is projected in the frequency-Doppler subspace, and the dimension reduction of the space-time signal is carried out according to the independence of the clutter in the subspace. The local STAP processing is carried out inside the subspace, and the processing results of all the subspaces are integrated by the static target squint imaging algorithm. Finally, the effectiveness of the local STAP processing and the coherent integration result is verified by the simulation experiment. The influence of the size of CPI and the length of satellite baseline on the processing results of STAP is analyzed.
【学位授予单位】:哈尔滨工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN957.51
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