An Efficient Contrast-based Motion Compensation Algorithm for Stepped-frequency Radar
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摘要: 在步进频雷达中,可将对比度作为代价函数用以估计目标的径向速度和径向加速度,从而抑制距离像畸变。但对比度代价面在速度-加速度空间内存在剧烈起伏,严重限制了算法的效率。该文分析了对比度代价面起伏的原因,通过严格的公式推导给出了消除对比度代价面起伏的条件。在深入研究对比度代价面性质的基础上,提出了一种新的目标运动补偿算法,显著提升了算法效率。理论分析和仿真结果证明了新算法的有效性和可行性。Abstract: In stepped-frequency radar, the contrast cost function can be used to estimate the target radial velocity and acceleration, and therefore reduce range profile distortions. However, the contrast cost surface fluctuates sharply in the velocity and acceleration space, which greatly limits the efficiency of the algorithm. In this study, the cause of this fluctuation is analyzed and its elimination is formulated analytically through strict formula derivation. Based on intensive study of the inherent properties of the contrast cost surface, a novel and highly efficient target motion compensation algorithm is presented. Theoretical analysis and simulations confirm the effectiveness and feasibility of this new algorithm.
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Key words:
- Stepped-frequency radar /
- Synthetic range profile /
- Contrast /
- Motion compensation
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