阶跃频率雷达距离估计的冗余产生与消除方法

2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2019-01-01 DOI:10.1109/ICEICT.2019.8846273

Qiushi Chen, Xin Zhang, Yingning Dong, Jiazhi Zhang, Qiang Yang

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引用次数: 0

摘要

为了适应拥挤的高频(HF)电磁环境，提高带宽利用率，进一步实现更高的距离分辨率，将稀疏随机阶跃频率(SRSF)信号引入高频雷达。提出了基于压缩感知(CS)理论的信号模型来重建目标的距离谱。但在估计过程中，由于外部因素或参数不合理，会产生冗余。因此，本文对影响距离估计性能的关键外部因素进行了详细分析。这些因素主要包括距离不匹配冗余、过采样冗余以及未知运动目标速度引起的畸变。还提供了具体的消除方法。消去前后的对比结果表明了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Redundancy Generation and Elimination Method for Range Estimation in Stepped Frequency Radar

In order to adapt to the crowed High Frequency (HF) electromagnetic environment, improve the utilization rate of bandwidth and further realize the higher range resolution, the sparse random stepped frequency (SRSF) signal is introduced into HF radar. Signal model based on compressive sensing (CS) theory is put forward to reconstruct the range spectrum of targets. However, redundancy is generated due to external factors or unreasonable parameters in the process of estimating. Therefore, in this paper, key external factors affecting the range estimation performance are analyzed in detail. These factors mainly include mismatched distance redundancy, oversample redundancy, and also distortion from unknown velocities of moving targets. Specific elimination methods are also provided. Comparison between before and after elimination shows the effectiveness of the proposed method.

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来源期刊

2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)

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