基于压缩感知的伪随机多相码连续波雷达

贺亚鹏; 王克让; 张劲东; 朱晓华

doi:10.3724/SP.J.1146.2010.00380

基于压缩感知的伪随机多相码连续波雷达

doi: 10.3724/SP.J.1146.2010.00380

贺亚鹏^{* 王克让张劲东朱晓华,},
王克让,
张劲东,
朱晓华

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- 文章访问数: 3580
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- 被引次数: 0
出版历程
- 收稿日期: 2010-04-16
- 修回日期: 2010-07-02
- 刊出日期: 2011-02-19

Compressive Sensing Based Pseudo-random Multi-phase CW Radar

He Ya-Peng^{* 王克让张劲东朱晓华
,},
Wang Ke-Rang,
Zhang Jin-Dong,
Zhu Xiao-Hua

摘要

摘要: 该文利用雷达目标空间的稀疏特性，提出了一种基于压缩感知的伪随机多相码连续波雷达。建立了目标信息感知模型，采用压缩感知以低于奈奎斯采样率对目标回波采样，然后从少量的采样数据中提取噪声背景下的目标场景信息。为了提高目标信息提取的有效性，采用模拟退火算法对波形进行优化。仿真结果表明了该方法的优越性。
- 连续波雷达 /
- 压缩感知 /
- 伪随机多相码 /
- 波形优化
Abstract: A novel pseudo-random multi-phase code Continuous Wave (CW) radar using Compressive Sensing (CS) is presented considering the sparse of radar target space. This paper establishes targets information sensing model. Compressive sensing is employed to sample targets echo under Nyquist sampling rate. Then the information of target scene is effectively extracted from a few sampling data in the presence of noise. To improve the effectiveness of targets information extraction, the waveform is optimized using Simulated Annealing (SA) algorithm. Simulation results demonstrate the merits of the proposed approach.
- Continuous Wave (CW) radar /
- Compressive Sensing (CS) /
- Pseudo-random multi-phase code /
- Waveform optimization

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