Hybrid implementation of the Wigner distribution and other time-frequency analysis techniques

A detailed description of the hybrid implementation of a fully programmable nonbaseband time-frequency processor is given. This processor is capable of implementing discrete versions of Cohen class functions, including the Wigner distribution and the ambiguity function and other time-frequency analysis techniques in real time. This implementation combines a wideband digital receiver and signal and control processors in dense circuits to allow the real-time capture and analysis of signals at sample rates of up to 40 MHz. The wideband digital receiver efficiently translates a narrowband signal of interest to baseband, filters it using Hogenauer filter techniques, and decimates it by a programmable rate. The resulting sampled data are then processed with a specified time-frequency algorithm. The dynamic range of the digital processing is in excess of 90 dB with frequency resolutions of less than 0.1 Hz. This dynamic range is beyond the current capabilities of analog-to-digital converters at the higher sampling rates. The implementation can process either real or complex signals