Study of fast Fourier sampling algorithm for ultra wideband digital receiver applications

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Authors
  1. Wu, C.
  2. Rajan, S.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
Abstract
The compressive sensing (CS) concept is a new paradigm in sampling of signals. The key concept of CS is to sample and obtain as much information about the signal with limited observations. The Fast Fourier Sampling (FFS) algorithm is a novel technique that exploits the idea of sparsity like CS and effectively provides a spectral representation using minimal sampled observations. This report provides a Matlab-based algorithm implementation and explores the applicability of the FFS to signal interception and detection in ultra-wide instantaneous bandwidth radio frequency/microwave digital receivers. The aim of the study is to quickly detect sparsely distributed carrier frequencies in an ultra-wide frequency band.

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Keywords
Fast Fourier Sampling;FFT;ultra wideband digital receiver;compressive sensing
Report Number
DRDC-OTTAWA-TR-2013-139 — Technical Report
Date of publication
01 Nov 2015
Number of Pages
90
DSTKIM No
CA042541
CANDIS No
803806
Format(s):
Electronic Document(PDF)

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