基于STAP消除干扰杂波的方法研究

发布时间：2018-03-14 05:10

本文选题：空时二维自适应处理　切入点：多级维纳滤波　出处：《电子科技大学》2012年硕士论文　论文类型：学位论文

【摘要】：阵列信号处理是现代信号处理的一个重要分支，它被广泛使用于生物医学工程、生物医学、语音处理和雷达等领域。阵列信号处理器通常工作在强杂波、干扰等复杂的电磁环境，如果处理器平台是空中运动的，还会面临由于平台运动导致的杂波谱展宽干扰等问题。作为解决上述问题的关键技术，空时二维自适应信号处理(STAP)的最优处理器在理论上可以通过空时二维联合自适应滤波去除杂波和干扰，以达到很好检测出目标的目的。但由于实际工作环境的复杂性、平台和工艺水平的局限性以及最优处理器算法本身的局限性，这种方法在实际工程应用中很难实现。针对这一情况，以实际工程背景为需求，从降低空域抑制干扰自由度和空时联合滤除杂波的角度出发主要做了两个方面的工作： 1、提出对自适应旁瓣相消(ASLC)数据进行杂波预处理，从而降低ASLC所需自由度，利用有限的辅助通道数目在空域先抑制掉干扰； 2、在抑制掉干扰之后，利用基于多级维纳滤波(MWF)的降维STAP去除杂波，并在多级维纳滤波的后向递推过程中提出了变对角加载技术稳健波束形成，提高算法的鲁棒性和实用性。仿真结果表明，，对自适应旁瓣相消数据的杂波预处理可以很好地将含有杂波的采样样本排除出ASLC的训练数据，提高有限辅助通道数目的ASLC系统抑制干扰的能力；而基于MWF的变对角加载STAP技术不仅在降维上方便易实现，而且运算量小，波束形成也十分地稳健。
[Abstract]:Array signal processing is an important branch of the modern signal processing, which is widely used in biomedical engineering, biomedical, speech processing and radar field. Array signal processor usually work in the strong clutter, electromagnetic interference and other complex environment, if the processor platform is the air, will face due to the platform due to the motion of the clutter spectrum broadening interference. As the key technology to solve the above problem, space-time adaptive signal processing (STAP) the optimal processor can through space-time combined adaptive filtering to remove clutter and interference in theory, in order to achieve good detection of the target. But due to the complexity of the working environment, the limitations of the platform and the level of technology and the limitation of the optimal processor algorithm itself, this approach is difficult to implement in practical engineering application.
In view of this situation, based on the actual engineering background, we need to do two aspects in the following aspects: reducing the degree of freedom of interference in airspace and filtering the clutter in space time.
1, put forward of adaptive sidelobe canceller (ASLC) data clutter processing, thereby reducing the required ASLC degrees of freedom in the airspace first suppress interference by the number of auxiliary channel limited;
2, after restraining the interference, we use the multidimensional Wiener filter (MWF) to reduce the clutter of the dimension STAP, and propose the variable diagonal loading technology robust beamforming in the backward recursive process of multistage Wiener filtering, which improves the robustness and practicability of the algorithm.
The simulation results show that the adaptive sidelobe cancellation of the clutter data pretreatment is a good way to contain the clutter samples out of the training data of ASLC, improve the ability of interference suppression in ASLC system a limited number of auxiliary channels; and variable diagonal loading STAP MWF is not only in the dimension above the easy realization based on but a small amount of computation, beamforming is also very robust.

【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：R318.0

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