Wide-Band Radar Signal Sampling and Reconstruction Based on Random Filter

摘要：

　　Wide-band radar,whose echo signal requires a lot of space for storage with the development of ultra wide band(UWB) technology,if using the conventional Nyquist sampling,however,the theory of compressive sensing (CS) enables the reconstruction of sparse signals from a small set of measurements,whereas the key point is the selection of the measurement matrix and the reconstruction algorithm.A method for radar processing based on CS is proposed in this paper.The measurement matrix is selected by random filter,which effectively reduces the number of non-zero elements in the measurement matrix.The simple Orthogonal Matching Pursuit (OMP) algorithm is chosen to reconstruct signal with less data storage and lower computational complexity.Finally,simulations are taken on testing the proposed method on LFM signals,and the results are provided to verify the performance of this method.

关键词： wideband signal compressive sensing random filtering orthogonal matching pursuit

作者: Biao Fang Gaoming Huang Jun Gao

作者单位: College of Electronic Engineering, Naval Univ.of Engineering, 430033 Wuhan, Hubei, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1428-1432

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）