An Algorithm of Parameter Estimation for Frequency-hopping Signals
This paper presents an algorithm of parameter estimation for frequency-hopping(FH) signals.Having extracted the power spectrum density matrix changing according to time(PSDMCAT) of the cross-correlation function of FH signals,the method can estimate such parameters as hop-timing,hop-rate,dwell-time and frequency-set by analyzing the hops which are generated from PSDMCAT.The algorithm not only outperforms traditional methods via improving the signal noise ratio(SNR),but also doesn't need to know some preconditions such as hop-rate,dwell-time et al,and does not require the selection of a kernel or mother wavelet function.Meanwhile,for frequency-hopping signals whose hop-rate or dwell-time is alterable,the algorithm is also qualified.The field test shows the presented algorithm is effective.