Abstract:
The thesis is based on the detection and characterization of frequency hopping (FH)
signals, operating in HF (2-30MHz) band. The work is focused on the blind detection and
parameter estimation of FH. The algorithm does not require any prior information about
the hop frequencies, hop pattern or modulation type. For reception of a frequency
hopping signal, the first step is detection of the signal. Detection & Estimation
Algorithm, presented in this thesis, detects the presence of hop and estimates the time of
hop. The detection technique used in this work is wavelet based transient detection.
Discontinuities are enhanced via wavelet transform. For the hop time estimation of
frequency hopping signal, firstly, the phase information is extracted from the temporal
correlation function (TCF) of received signal. Then, by applying certain de-noising
techniques, discrete wavelet transform (DWT) is used for extracting the time of hopping.
Simulations are carried out in MATLAB with Additive White Gaussian (AWGN)
Channel and the results are presented in the form of detection statistics. Results show
reliable detection and estimation performance for SNR levels above 3dB.
