The purpose of the present study is to reduce the high Peak-to-Average Power Ratio (PAPR) in Digital Beam-Forming (DBF). We propose a method based on conformal transformation and compressive sensing (CS). We make a sparse array manifold

following that sampling the DBF signal compressively. Then we clip and filter the sampled signal in the analytic domain which is gotten through the conformal transformation. Reconstructing the previous signal could be accomplished through CS. Compared with the former ways

the test experiment results show that by the presented method

the operation speed is faster; the out-band noise and the in-band jamming are much lower.