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毫米波导引头信号处理算法与实现

发布时间:2018-12-07 07:06
【摘要】:随着硬件设备的不断发展,使得制造更小型化的毫米波导引头成为了可能,也是毫米波技术研究中的迫切需求。另外近些年来隐身技术得到了高速的发展,因为这样可以有效的避免敌对目标的攻击,成为了未来各类军事设备的发展趋势。使得对弱目标的检测前跟踪技术研究成为了必要的研究,提高在低信噪比下的检测性能和随机分布的多目标跟踪技术也是目标跟踪领域的热点问题。本文针对上述已经存在的技术和实践问题,研究了毫米波的信号处理技术和工程实现,以及基于动态规划的多目标的检测前跟踪技术。研究的主要研究内容如下:(1)从整体上对毫米波雷达的信号处理算法进行研究,包括正交双通道信号的获取、单脉冲测角技术和雷达工作时使用的信号及性能分析。(2)对毫米波导引头系统在实际应用方面做了研究。首先从系统整体构成的角度说明了系统的各个组成部分,然后对各个部分的工程实践方法进行了详细的研究,对显控系统的开发做了详细的研究,使用了一种节省时间的数据校验方式,并使用数据产生的同时也被消化的方法完成了显示和记录。研究了组成信号处理机的各个子芯片及其工作方式。最后对信号的直接数字合成的数据生成方法和GPS数据的解算做了研究。(3)研究了弱目标的检测前跟踪技术,首先研究了单目标的霍夫变换方法的检测前跟踪技术和动态规划检测前跟踪技术,然后研究了多目标的动态规划检测前跟踪技术,最后针对动态规划检测前跟踪方法在计算上花费时间较大的问题,本文提出了使用多个计算核心并行计算的动态规划方法。该方法利用了动态规划状态转移集不同时,不同目标的值函数累积值的区别,使与积累方向相同航迹的能量能够沿航迹方向更好的积累,与积累方向不同的航迹在值函数上很难积累,这种方法使与积累方向相同的航迹更容易被检测,同时将计算量分担到各个计算核心中,使总体计算时间减少。理论研究和仿真实验结果都可以展示出,与MT-DP-TBD处理方式相比,新方法提升了弱小目标的检测能力,同时减少了计算时间。
[Abstract]:With the development of hardware devices, it is possible to manufacture a miniaturized millimeter-wave seeker, which is also an urgent need in the research of millimeter-wave technology. In addition, stealth technology has been developed rapidly in recent years, because it can effectively avoid the attack of hostile targets, and has become the development trend of all kinds of military equipment in the future. It is necessary to study the pre-detection tracking technology for weak targets, and to improve the detection performance and random distribution of multi-target tracking technology at low SNR is also a hot issue in the field of target tracking. Aiming at the technical and practical problems mentioned above, the signal processing technology and engineering implementation of millimeter wave and the pre-detection tracking technology based on dynamic programming are studied in this paper. The main research contents are as follows: (1) the signal processing algorithm of millimeter-wave radar is studied, including the acquisition of orthogonal dual-channel signals. Monopulse angle-measuring technique and signal and performance analysis of radar. (2) the practical application of millimeter-wave seeker system is studied. First of all, it explains the components of the system from the point of view of the overall composition of the system, then makes a detailed study on the engineering practice methods of each part, and makes a detailed study on the development of the display and control system. A time-saving data validation method is used, and the display and recording are completed by using the method of data generation and digestion. The sub-chips and their working modes of the signal processor are studied. Finally, the data generation method of direct digital synthesis of signals and the solution of GPS data are studied. (3) the pre-detection tracking technology of weak targets is studied. Firstly, the detection pre-tracking technology of single target Hough transform method and the dynamic programming detection pre-tracking technique are studied, and then the multi-target dynamic programming detection pre-tracking technology is studied. Finally, aiming at the problem that the tracking method of dynamic programming before detection takes a lot of time to compute, this paper proposes a dynamic programming method which uses multiple computing cores in parallel computing. This method makes use of the difference of the cumulative values of the value functions of different targets in different dynamic programming state transfer sets, so that the energy of the same track as the accumulation direction can accumulate better along the track direction. It is difficult for track with different direction of accumulation to accumulate on the value function. This method makes it easier to detect the track with the same direction of accumulation. At the same time, the amount of calculation is shared among the calculation cores, and the total calculation time is reduced. The theoretical research and simulation results show that compared with the MT-DP-TBD method, the new method improves the detection ability of small and weak targets and reduces the computational time.
【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】:2015
【分类号】:TJ765.331;TN911.7

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