Joint Detection and Hop Parameters Estimation of Slow FHSS/MFSK Signals Using DHWT-AC Technique in Rayleigh Block Fading Channels
Seyedroohollah Hosseini, Hooman Razavi · 2009
Abstract—Frequency hopping spread spectrum (FHSS) has been paid much attention and has been employed by various wireless systems. For the reception of FHSS signals, first of all, we need to detect the presence of signal, and then to estimate hop parameters such as hop timing and hop frequency. In this paper, we propose an efficient algorithm for joint detection and hop parameters estimation of the slow FHSS/MFSK signals using two different methods, namely, the Discrete Haar Wavelet Transform (DHWT) and the autocorrelation (AC) in Rayleigh block fading channels. This algorithm can be used in communication intelligent (COMINT) systems for surveillance issues. The performance and behavior of the proposed algorithm are examined through computer simulations over practical measured data. Index Terms—Autocorrelation function, joint detection and estimation, frequency hopping spread spectrum, discrete Haar-wavelet transform, hop parameters estimation. I.