Baseband Volterra filters for implementing carrier based nonlinearities

• Published in: IEEE transactions on signal processing Vol. 46; no. 1; pp. 103 - 114
• Main Authors: Raz, G.M., van Veen, B.D.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.1998; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Baseband; Computational complexity; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Filtering; Frequency domain analysis; Information, signal and communications theory; Kernel; Nonlinear filters; Nonlinear systems; Signal and communications theory; Signal processing; Signal, noise; Telecommunications and information theory; Tensile stress; Vectors; Signal processing; Volterra series; Implementation; Non linear filtering
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/78.651189

A diagonal coordinate representation for Volterra filters is developed and exploited to derive efficient Volterra filter implementations for processing carrier based input signals. In the diagonal coordinate representation, the output is expressed as a sum of linear filters applied to modified input signals. Hence, linear filtering methods are employed to implement the nonlinear filter on a baseband version of the input. Downsampling is then used to reduce computational complexity. The same approach is employed to develop efficient implementations for processing continuous-time carrier-based signals, pulse amplitude-modulated signals, and frequency division multiplexed input signals.