Parameter Blind Estimation of Frequency-Hopping Signal Based on Time–Frequency Diagram Modification

Abstract To effectively estimate the parameters of the multiple frequency-hopping signals, a blind parameter estimation method based on time–frequency diagram modification is proposed. Firstly, the observed signal is transformed to the time–frequency domain, using short time Fourier transform with overlapping windows. Then an energy detection method based on adaptive threshold is used to modify the time–frequency diagram, and the parameters of the frequency-hopping signals are finally obtained from the modified spectrogram. Theoretical analysis and simulation results show that the method proposed can get a clear time–frequency diagram at low signal-to-noise ratio (SNR), and its accuracy of parameter estimated is higher than that of previous methods. When SNR is −10 dB, estimation errors of frequency, hopping time and hop duration is 0.0002, 0.0008 and 0.0013, respectively, which are about 1–2 orders of magnitude lower over the previous method.

[1]  Hong-xin Zhang,et al.  A parameter estimation method for FH signal based on SPWVD , 2011 .

[2]  Meng Li,et al.  Parameter Estimation of Frequency Hopping Signals Based on Time Frequency Analysis , 2013 .

[3]  Yuan Chao-wei Blind Parameter Estimation of Frequency-Hopping Signals Based on the Time-Frequency Distribution Maxima , 2011 .

[4]  Lv Ming,et al.  A Joint Rapid Parameter Estimate Method of Frequency-Hopping Signals , 2012, 2012 International Conference on Control Engineering and Communication Technology.

[5]  Wang Fenghua A Modification Method for Time-Frequency Pattern of Frequency-Hopping Signals Based on Time-Frequency Sparsity , 2013 .

[6]  Lu Wang,et al.  Blind Frequency Hopping Spectrum Estimation: A Bayesian Approach , 2014, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing.

[7]  A. Scaglione,et al.  Parameter estimation of spread spectrum frequency-hopping signals using time-frequency distributions , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.

[8]  Yuan Chao-wei,et al.  Combination of Wigner-Ville distribution and its application to blind parameter estimation of frequency-hopping signals , 2010 .

[9]  Deng Lin Application of rearrangement spectrogram in parameter estimation of frequency-hopping signal , 2013 .

[10]  Guo Ying,et al.  Blind Parameter Estimation of Frequency Hopping Signals Based on Matching Pursuit , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[11]  Jiantao Guo Adaptive Time-Frequency Parameterization of Frequency-Hopping Signals Based on Evolutionary Algorithm , 2010, 2010 Third International Joint Conference on Computational Science and Optimization.

[12]  Guo Ying A Novel Blind Parameter Estimation Algorithm of Frequency-Hopping Signals , 2009 .

[13]  T.-C. Chen,et al.  Joint signal parameter estimation of frequency-hopping communications , 2012, IET Commun..