地面雷达微弱目标检测算法研究

发布时间：2018-04-19 00:25

本文选题：雷达微弱目标检测 + 长时间积累　；参考：《西安电子科技大学》2014年硕士论文

【摘要】：现代雷达检测面临着各种威胁和和挑战,弱小目标的检测是现代雷达信号处理中的一项重要任务。目前针对微弱目标的检测,人们通常采用长时间积累算法进行相参积累,检测前跟踪算法进行非相参积累来提高信噪比。本文围绕微弱目标检测问题,分别对这两种方法进行研究。针对长时间积累过程中产生的距离徙动和多普勒走动问题,提出一种基于频域校正的快速长时间积累算法。通过将频域脉压信号分别乘以关于速度估计值和加速度估计值的补偿因子来实现包络补偿和多普勒补偿,其中加速度的估计通过Radon-Ambiguity变换法(RAT)实现,速度的估计通过选取计算量小的代价函数搜索实现。实验结果表明,该算法在与现有算法检测性能相当的同时,计算量大大减少。针对标准粒子滤波算法存在的重要性函数的选取以及进行重采样以后粒子多样性丧失导致的样本枯竭问题,提出一种基于进化裂变的粒子滤波算法,该算法采用UKF产生重要性函数,对粒子进行裂变增强粒子多样性。实验结果表明,改进算法得到的轨迹与传统算法相比更接近真实的轨迹,精度更高。最后,本文对几种常见的单脉冲检测器在不同条件下的检测性能进行研究。
[Abstract]:Modern radar detection is faced with various threats and challenges. The detection of small and weak targets is an important task in modern radar signal processing.At present, for weak target detection, people usually use long time accumulation algorithm for coherent accumulation, and pre-detection tracking algorithm for non-coherent accumulation to improve signal-to-noise ratio (SNR).In this paper, the two methods are studied around the problem of weak target detection.Aiming at the range migration and Doppler migration during long time accumulation, a fast long time accumulation algorithm based on frequency domain correction is proposed.The envelope compensation and Doppler compensation are realized by multiplying the frequency domain pulse compression signal by the compensation factors about the velocity and acceleration estimates respectively, in which the acceleration estimation is realized by the Radon-Ambiguity transform method.The speed estimation is realized by selecting a cost function with low computational complexity.The experimental results show that the proposed algorithm has the same detection performance as the existing algorithms and greatly reduces the computational complexity.A particle filter algorithm based on evolutionary fission is proposed to select the importance function of the standard particle filter algorithm and to solve the problem of sample depletion caused by the loss of particle diversity after resampling.In this algorithm, the importance function is generated by UKF, and the particle diversity is enhanced by fission.The experimental results show that the trajectory obtained by the improved algorithm is closer to the real trajectory and the accuracy is higher than that of the traditional algorithm.Finally, the detection performance of several common monopulse detectors under different conditions is studied.
【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

【相似文献】