| 摘要: |
| 对高速机动微弱目标进行长时间相干积累检测会引起距离单元徙动（Range Cell Migration, RCM）、多普勒频率徙动（Doppler Frequency Migration, DFM），甚至二阶多普勒频率徙动（Second-order Doppler Frequency Migration, SDFM）。因此，克服上述问题对于提升雷达性能来说至关重要。本文提出了一种基于改进回波构造变换（Improved Echo Construction Transform, IECT）算法：首先对脉压回波运用改进坐标轴旋转（Improved Axis Rotation, IAR）算法以消除RCM；随后采用IECT使回波在慢时间域完成降幂操作，从而消除SDFM；之后采用离散分数阶傅里叶变换（Discrete Fractional Fourier transform, DFrFT），通过对合适阶次的搜索估计目标加加速度，利用积累尖峰的位置估计目标加速度，最后乘以加速度-加加速度联合补偿函数后再进行动目标检测（Moving Target Detection, MTD）以估计目标速度。仿真实验有效验证IECT在运动参数估计和目标检测检测方面的性能。 |
| 关键词: 高速机动目标 长时间相干积累 距离单元徙动 多普勒频率徙动 改进回波构造变换 |
| DOI： |
| 分类号:TN957 |
| 基金项目:62161029国家自然科学基金 |
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| Research on a High Speed Maneuvering Weak Target Integration Detection Method |
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| Abstract: |
| Long-time coherent integration detection of high-speed maneuvering weak targets will cause Range Cell Migration (RCM), Doppler Frequency Migration (DFM), and even Second-order Doppler Frequency Migration (SDFM). Therefore, it is necessary to overcome the above problems to improve radar performance. In this paper, an Improved Echo Construction Transform (IECT) algorithm is proposed. Firstly, the Improved Axis Rotation (IAR) algorithm is applied to the pulse compression echoes to eliminate the RCM. Subsequently, IECT is used to reduce the order of motion parameters in the slow time domain to eliminate SDFM. Afterwards, the Discrete Fractional Fourier Transform (DFrFT) is used to estimate the target jerk by searching for the appropriate order of DFrFT, and the target acceleration is estimated according to the place of accumulated peak. And finally multiply by the acceleration-jerk joint compensation function before Moving Target Detection (MTD) to estimate the target speed. Simulation experiments effectively verify the performance of IECT in motion parameter estimation and target detection. |
| Key words: High-speed maneuvering weak target Coherent integration Range Cell Migration Doppler Frequency Migration Improved Echo Construction Transform |