Waveform Optimization for Compressive Sensing Radar Imaging

摘要：

The compressive sensing radar (CSR) has been demonstrated to provide high-quality radar images using fewer data samples than conventional methods. Similar to traditional radar systems, the imaging performance of CSR is also affected by the transmitted waveform. Since a direct optimization of the sensing matrix with respect to the waveform is prohibitive, a CSR waveform design method minimizing a weighted coherence of the sensing matrix is proposed in this paper. A universal CSR model is first established and the cost function for waveform optimization is derived. Then, the simulated annealing (SA) algorithm is introduced to reduce the cost function with binary phasecoded waveform as an example. The proposed algorithm generates the waveform with smaller coherence and inner products compared to the other waveforms widely used in literatures, thus can achieve better performance with superresolution and high accuracy in the CS imaging formation.

关键词： Compressive sensing radar waveform design simulated annealing coherence of the sensing matrix.

作者: Yapeng He Xiaohua Zhu Shanna Zhuang Hongtao Li Heng Hu

作者单位: Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 1263-1266

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）