西安电子科技大学学报(自然科学版)
西安電子科技大學學報(自然科學版)
서안전자과기대학학보(자연과학판)
JOURNAL OF XIDIAN UNIVERSITY(NATURAL SCIENCE)
2015年
1期
200-206
,共7页
方标%黄高明%高俊%左炜
方標%黃高明%高俊%左煒
방표%황고명%고준%좌위
压缩感知%线性调频信号%分数阶傅里叶变换
壓縮感知%線性調頻信號%分數階傅裏葉變換
압축감지%선성조빈신호%분수계부리협변환
compressive sensing%linear frequency modulate%fractional Fourier transform
针对宽带雷达线性调频信号(Linear Frequency Modulated,LFM)带宽大、采样率高、存储容量要求高的问题,设计了一种基于压缩感知的 LFM雷达回波信号的欠采样整体方案。首先,利用 LFM信号在分数阶傅里叶变换(FRactional Fourier Transform,FRFT)域上良好的能量聚集特点,提出了一种基于DFRFT核矩阵的正交基字典构造方法,在此基字典的基础上利用随机解调器和匹配追踪类算法构建了一个 LFM雷达回波信号的压缩采样和重构系统模型。仿真结果验证了 FRFT域处理 LFM雷达回波信号的可行性和有效性,LFM雷达信号在该正交基字典上的稀疏表示效果要优于现有的波形匹配字典,而且具有更好的抗噪性能和自适应性能。
針對寬帶雷達線性調頻信號(Linear Frequency Modulated,LFM)帶寬大、採樣率高、存儲容量要求高的問題,設計瞭一種基于壓縮感知的 LFM雷達迴波信號的欠採樣整體方案。首先,利用 LFM信號在分數階傅裏葉變換(FRactional Fourier Transform,FRFT)域上良好的能量聚集特點,提齣瞭一種基于DFRFT覈矩陣的正交基字典構造方法,在此基字典的基礎上利用隨機解調器和匹配追蹤類算法構建瞭一箇 LFM雷達迴波信號的壓縮採樣和重構繫統模型。倣真結果驗證瞭 FRFT域處理 LFM雷達迴波信號的可行性和有效性,LFM雷達信號在該正交基字典上的稀疏錶示效果要優于現有的波形匹配字典,而且具有更好的抗譟性能和自適應性能。
침대관대뢰체선성조빈신호(Linear Frequency Modulated,LFM)대관대、채양솔고、존저용량요구고적문제,설계료일충기우압축감지적 LFM뢰체회파신호적흠채양정체방안。수선,이용 LFM신호재분수계부리협변환(FRactional Fourier Transform,FRFT)역상량호적능량취집특점,제출료일충기우DFRFT핵구진적정교기자전구조방법,재차기자전적기출상이용수궤해조기화필배추종류산법구건료일개 LFM뢰체회파신호적압축채양화중구계통모형。방진결과험증료 FRFT역처리 LFM뢰체회파신호적가행성화유효성,LFM뢰체신호재해정교기자전상적희소표시효과요우우현유적파형필배자전,이차구유경호적항조성능화자괄응성능。
For the large bandwidth, high sampling rate, high storage capacity in linear frequency modulated(LFM) signals applied in wideband radar, this paper designs an overall solution for undersampling the radar echo of LFM signals based on compressive sensing(CS).First,by use of the good energy characteristics of LFM signals in the fractional Fourier transform(FRFT) domain, a novel orthogonal base dictionary based on the DFRFT nuclear matrix is proposed.Combining this dictionary with random demodulation and matching pursuit algorithms, an LFM radar echo signal sampling and reconstruction system model is built.Simulation results verify the feasibility and effectiveness of this scheme,and sparse representation of the LFM radar echo in the orthogonal basis dictionary is superior to the existing waveform matching dictionary,and has better anti-noise and adaptive performance.