LASKA J, KIROLOS S, MASSOUD Y, BARANIUK R. Random sampling for analog-to-informaion conversion of wideband signals. IEEE Dallas/CAS Workshop on Design, Application, Integration and Software, Oct. 2006, 119-122.

has been cited by the following article:

• TITLE: The Identification of Frequency Hopping Signal Using Compressive Sensing

  AUTHORS: Jia YUAN, Pengwu TIAN, Hongyi YU

  KEYWORDS: compressive sensing, frequency hopping signal, identification

  JOURNAL NAME: Communications and Network, Vol.1 No.1, August 18, 2009

  ABSTRACT: Compressive sensing (CS) creates a new framework of signal reconstruction or approximation from a smaller set of incoherent projection compared with the traditional Nyquist-rate sampling theory. Recently, it has been shown that CS can solve some signal processing problems given incoherent measurements without ever reconstructing the signals. Moreover, the number of measurements necessary for most compressive signal processing application such as detection, estimation and classification is lower than that necessary for signal reconstruction. Based on CS, this paper presents a novel identification algorithm of frequency hopping (FH) signals. Given the hop interval, the FH signals can be identified and the hopping frequencies can be estimated with a tiny number of measurements. Simulation results demonstrate that the method is effective and efficient.