REAL-TIME HILBERT TRANSFORM AND AUTOCORRELATION FOR DIGITAL WIDEBAND COMMUNICATION APPLICATIONS

by Srinivasa Murthy, Dilip

Digital wideband receiver plays a key role in communication and radar systems, and it is used detect and analyze wide range of radio frequency (RF) signals. A digital Instantaneous Frequency Measurement (IFM) receiver is designed, where implementation of a real-time architecture of a Hilbert transform and autocorrelation algorithm is presented. Real-time architecture performs continuous monitoring and processing of the incoming signal. Prior to the previous one bit design, the input data fed to the Hilbert transform is 8-bit wide at a clock rate of 320 MHz with the input data rate is increased by a factor of eight, an 8-bit autocorrelation algorithm is designed to maintain the real-time data processing for signal detection. This new digital IFM design was implemented and tested on Delphi's ADC3255 (PCM digitizer with Xilinx Virtex-4 FPGA), and has capable of assorting the continuous and short pulse wave signal up to 1.2 GHz bandwidth with a frequency detection error less than 2MHz for time resolution of 100 nsec.