High-speed waveforms constitute the currency of modern, data intensive communications. Whether they are digital signals in a computer processor or interconnect, broadband wireless signals; or optic signals in a transoceanic fiber cable, high-speed signals experience distortion from many sources. Faster next-generation systems require accurate measurements of signal quality to understand the inevitable degradation (both from the system and the measurement equipment itself) and to develop innovative methods for dynamic compensation of this degradation. In collaboration with both academic and private sector technology leaders, NIST researchers are developing advanced measurement science for characterizing high-speed signals and the causes of signal degradation. A multidisciplinary effort, including optical signal processing, microwave circuit theory, statistics, system identification, and analysis of inverse problems is indispensable to making the leap to next-generation computing and dynamic communications systems. Proposals should complement and expand on NIST work in the areas of high-speed digital (both electrical and optical), nonlinear network analysis, and broadband wireless.
Hale PD, et al: IEEE Transactions on Instrumentation and Measurement 58(10): 3554, 2009
Hale PD, Dienstfrey A: Instrumentation and Measurement Technology Conference 2010: I2MTC 10: IEEE, 386
Hale PD, Williams DF, and Dienstfrey A, Metrologia, 55 (5), S135-S151, 2018.
Inverse problems; Optical signal processing; System identification; Digital signals; Wireless communications; Optical communications; Statistics; Interconnects; Nonlinear