A Symbol-Rate Timing Recovery Method for Low- Energy High-Speed Wireless Communication System

This paper presents a new symbol-rate timing recovery approach based on adaptive interpolation to reduce the sampling frequency of analog-to-digital converter (ADC) and power consumption for low-energy high-speed wireless communication system, such as ultra-wideband (UWB) system. Using a principle of maximum absolute-squared sum (MASS), the ADC can select the optimal clock phase provided by a multiple clock generator to sample the incoming signals at the symbol rate. Adaptive interpolation is then introduced to compensate for the performance lose caused by residual timing error due to insufficient amount of clock phases. Both the least mean square (LMS) algorithm and recursive least square (RLS) algorithm can be applied on the adaptive interpolation filter. Simulation results show that adaptive interpolation can improve the performance by decreasing the residual timing error, and the RLS interpolator outperforms the LMS one at the cost of increased complexity.