| 摘要: |
| 雷达目标在观测空间中通常是稀疏的。当雷达发射线性调频信号时，目标回波的匹配滤波实际上是频域去斜脉压，回波信号在频域去斜后变成复正弦波。基于目标稀疏性和去斜回波的复正弦形式，可以构造多目标频域去斜回波的距离维稀疏信号模型，然后利用凸优化方法求解目标的距离，同时实现雷达距离超分辨。本文提出了一种基于目标稀疏性和频域去斜的距离超分辨方法，理论分析和仿真实验表明，该方法的距离分辨率超过了常规脉冲压缩技术，从而实现了雷达距离超分辨。 |
| 关键词: 距离超分辨 稀疏表示 凸优化 频域去斜 |
| DOI：DOI:10.3969/j.issn.1672-2337.2020.06.013 |
| 分类号:TN958 |
| 基金项目: |
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| Radar Range Super-Resolution Based on Target Sparsity |
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CHEN Xixin， ZHANG Qinghai
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1. Nanjing Research Institute of Electronics Technology, Nanjing 210039, China;2. Electrical Engineering College,Nanjing University of Industry Technology, Nanjing 210023， China
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| Abstract: |
| The radar targets in the observation space are usually sparse. When the radar transmits the linear frequency modulated signal the matched filtering of target echoes is actually the dechirp pulse compression in the frequency domain, and the dechirp echoes become the complex sinusoidal waves. Based on the target sparsity and the complex sinusoidal wave form of dechirp echoes, the range-dimension sparsity signal model of dechirp echoes of multiple targets can be built, then the convex optimization method is used to obtain the target ranges, and simultaneously the radar range super-resolution is achieved. A range super-resolution method based on the target sparsity and the dechirp echoes is presented in this paper. The theory analysis and the simulation experiment show that the range resolution of the presented method overpasses that of the conventional pulse compression technique and therefore the range super-resolution ability of radar is accomplished. |
| Key words: range super-resolution sparsity representation convex optimization dechirp in frequency domain |
