Resource-efficient parametric recovery of linear time-varying systems

Andrew Harms, Waheed U. Bajway, Robert Calderbankz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents a novel, resource-efficient method of identifying the parametric description of linear, time-varying (LTV) systems, consisting of time shifts, frequency shifts, and complex amplitude scalings. Linear Frequency Modulation (LFM) waveforms are used to probe the system, and the returns are used to identify the parametric description. The number of samples required for perfect recovery is shown to scale linearly in the number of descriptive parameters K, and the sampling rate required is sub-Nyquist when compared to the bandwidth of the LFM waveforms. The time-bandwidth product of the LFM waveforms scales quadratically in K. Numerical examples demonstrate perfect recovery of closely spaced targets in the delay-Doppler space.

Original languageEnglish (US)
Title of host publication2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Pages200-203
Number of pages4
DOIs
StatePublished - 2013
Event2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 - Saint Martin, France
Duration: Dec 15 2013Dec 18 2013

Publication series

Name2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013

Other

Other2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Country/TerritoryFrance
CitySaint Martin
Period12/15/1312/18/13

All Science Journal Classification (ASJC) codes

  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Resource-efficient parametric recovery of linear time-varying systems'. Together they form a unique fingerprint.

Cite this