Journal on Communications ›› 2013, Vol. 34 ›› Issue (5): 107-112.doi: 10.3969/j.issn.1000-436x.2013.05.012

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Time-frequency analysis of freqency-hopping signals based on sparse recovery

Zhi-chao SHA,Zhi-tao HUANG,Yi-yu ZHOU,Jun-hua WANG   

  1. School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China
  • Online:2013-05-25 Published:2017-06-27
  • Supported by:
    The Program for New Century Excellent Talents in University of China (NCET)

Abstract:

To overcome the common shortcomings shared by the existing methods: weak suppression noise interference and feeble performance of time-frequency concentration,a novel time-frequency analysis method based on sparse repre-sentation was developed,which could get clear and concentrate time-frequency representation.Firstly,the unconstrained sparse representation model of FH signals was established according to the punish function theory.Then,the guideline of punish parameters were analysed theoretically and got time-frequency representation by sloving the optimization problem used approximate l0norm finally.The simulation results show that this method is capable of getting clear time-frequency pattern.

Key words: frequency-hopping signals, sparse recovery, time-frequency analysis, approximate l0norm

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