Eye Estimation Methods for MIPI C-PHY

Abstract

Mobile industry processor interface (MIPI) C-PHY is a signal transmission interface with three-phase encoding technology on the three-wire high-speed channel. The traditional method of superposition to generate an eye diagram on this kind of channel is time-consuming. The novel eye estimation methods for the C-PHY protocol are proposed. A new greedy algorithm and dynamic programming method are proposed to predict the worst-case eye diagram, respectively. The accuracy and efficiency of these two methods are compared. In addition, the algorithms for estimating the statistical eye diagram of MIPI C-PHY with and without considering the driver nonlinearity are also proposed and compared respectively. All the proposed algorithms are validated by experimental measurement. The excellent agreement could be well seen.