高速弱小目标相参TBD算法研究
发布时间：2019-03-10 17:45
【摘要】：随着隐身技术的不断发展和应用,目标如军舰、歼击机和导弹等的雷达反射截面积(RCS)急剧减小,雷达反射回波的信噪比下降,导致目标检测概率迅速降低,对雷达目标检测带来巨大挑战,因此对微弱目标进行有效检测对于现代雷达技术的发展具有重要意义。本文首先研究了微弱目标检测的基本理论知识,在深入研究微弱目标检测相关理论的基础之上,分析了目前常用的提高信噪比的几种方法,包括杂波抑制技术、长时间积累技术和距离走动补偿技术等。然后又分析了检测前跟踪(TBD)技术相比于检测后跟踪(DBT)技术的优点,接下来介绍了两种基于非相参积累的TBD算法,基于Hough变换的TBD算法和基于动态规划的TBD算法,介绍了两种算法的基本原理和实现方法,并通过计算机仿真结果分析了两种算法对微弱目标检测的有效性,同时指出了这两种算法存在的问题,传统的TBD算法在多帧回波之间采用非相参能量积累,会造成一定的积累损失,本文分析了基于多帧回波的相参TBD算法,相比传统的TBD算法对微弱目标检测有更大的改善,接下来本文主要研究了四种多帧相参TBD算法,分别是基于时域、频域、包络插值移位和keystone变换的多帧相参TBD算法,给出了四种基于多帧相参TBD算法的目标运动模型和回波信号模型,介绍了四种基于多帧回波数据相参的TBD算法的基本原理、实现方法与步骤,最后对这四种基于多帧数据相参TBD算法进行了计算机仿真,结果分析验证了四种相参TBD算法对高速微弱目标检测的有效性,并对四种算法性能给出了分析和比较。
[Abstract]:With the development and application of stealth technology, the (RCS) of radar reflection cross-sectional area of target such as warship, fighter and missile decreases sharply, and the signal-to-noise ratio of radar reflection echo decreases, which leads to the rapid reduction of target detection probability. Therefore, effective detection of weak targets is of great significance for the development of modern radar technology. Firstly, the basic theoretical knowledge of weak target detection is studied in this paper. On the basis of deep research on the correlation theory of weak target detection, several commonly used methods to improve signal-to-noise ratio are analyzed, including clutter suppression technology. Long-term accumulation technology and distance walk compensation technology, etc. Then the advantages of pre-detection tracking (TBD) technology over post-detection tracking (DBT) technology are analyzed. Then two TBD algorithms based on non-coherent accumulation, TBD algorithm based on Hough transform and TBD algorithm based on dynamic programming are introduced. The basic principles and implementation methods of the two algorithms are introduced, and the effectiveness of the two algorithms for weak target detection is analyzed by computer simulation results. At the same time, the existing problems of the two algorithms are pointed out. The traditional TBD algorithm uses non-coherent energy accumulation between multi-frame echoes, which will cause a certain accumulation loss. This paper analyzes the coherent TBD algorithm based on multi-frame echoes. Compared with the traditional TBD algorithm, it has a greater improvement on weak target detection. Next, four kinds of multi-frame coherent TBD algorithms are studied, which are based on time domain, frequency domain, envelope interpolation shift and keystone transform. In this paper, four kinds of target motion models and echo signal models based on multi-frame coherent TBD algorithm are presented. The basic principles, implementation methods and steps of four TBD algorithms based on multi-frame echo data coherence are introduced. Finally, the computer simulations of the four coherent TBD algorithms based on multi-frame data are carried out. The results show that the four coherent TBD algorithms are effective for high-speed weak target detection, and the performance of the four algorithms is analyzed and compared.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
本文编号：2437836
[Abstract]:With the development and application of stealth technology, the (RCS) of radar reflection cross-sectional area of target such as warship, fighter and missile decreases sharply, and the signal-to-noise ratio of radar reflection echo decreases, which leads to the rapid reduction of target detection probability. Therefore, effective detection of weak targets is of great significance for the development of modern radar technology. Firstly, the basic theoretical knowledge of weak target detection is studied in this paper. On the basis of deep research on the correlation theory of weak target detection, several commonly used methods to improve signal-to-noise ratio are analyzed, including clutter suppression technology. Long-term accumulation technology and distance walk compensation technology, etc. Then the advantages of pre-detection tracking (TBD) technology over post-detection tracking (DBT) technology are analyzed. Then two TBD algorithms based on non-coherent accumulation, TBD algorithm based on Hough transform and TBD algorithm based on dynamic programming are introduced. The basic principles and implementation methods of the two algorithms are introduced, and the effectiveness of the two algorithms for weak target detection is analyzed by computer simulation results. At the same time, the existing problems of the two algorithms are pointed out. The traditional TBD algorithm uses non-coherent energy accumulation between multi-frame echoes, which will cause a certain accumulation loss. This paper analyzes the coherent TBD algorithm based on multi-frame echoes. Compared with the traditional TBD algorithm, it has a greater improvement on weak target detection. Next, four kinds of multi-frame coherent TBD algorithms are studied, which are based on time domain, frequency domain, envelope interpolation shift and keystone transform. In this paper, four kinds of target motion models and echo signal models based on multi-frame coherent TBD algorithm are presented. The basic principles, implementation methods and steps of four TBD algorithms based on multi-frame echo data coherence are introduced. Finally, the computer simulations of the four coherent TBD algorithms based on multi-frame data are carried out. The results show that the four coherent TBD algorithms are effective for high-speed weak target detection, and the performance of the four algorithms is analyzed and compared.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51
【参考文献】
相关期刊论文 前1条
1 王根原;保铮;;逆合成孔径雷达运动补偿中包络对齐的新方法[J];电子学报;1998年06期
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