In　this　paper,　a　wideband　analog　to　information　converter　front-end　circuit　is　designed.　It　is　based　on　compressed　sensing　theory,　and　sample　wideband　analog　signal,　which　is　sparse　in　the　frequency　domain,　at　the　sub-Nyquist　rate,　Then,　through　Orthogonal　Matching　Pursuit　(OMP)　reconstruction　algorithm,　the　original　wideband　analog　signal　can　be　reconstructed　from　the　low　rate　samples　accurately.　The　circuit　is　designed　in　SM1C18mmrf　technology,　occupying　132um　X　111　um　silicon　area.　Simulation　results　show　the　successful　reconstruction　of　multi-tone　signals　for　512MHz　bandwidth.　The　system　power　consumption　is　estimated　to　be　11.86mW,　while　maintaining　the　high　compress　rate,　X16.