Abstract: Chaotic Compressive Sensing (ChaCS) is a nonlinear compressive sensing theory, which uses chaotic systems to randomly measure signals and performs the signal reconstruction by sparsity-regularized nonlinearly optimization technique. It is simple in implementation and generates secure measurement data. Chaotic modulation is a ChaCS-based nonlinear analog-to-information conversion technique, which acquires compressive samples of the sparse analog signals through parameter-modulation and low-rate sampling of the chaotic system state. This paper presents an experimental circuit of the Lorenz system-based chaotic modulation and studies its reconstruction performance. The experimental results confirm the implementability of the analog-to-information conversion.