Parameter estimation of second order cyclostationarity signals using BT-SCLD and VBT-SCLD techniques

Blind Parameter Estimation and classification is a key task in military and commercial applications such as electronic warfare, spectrum monitoring, and spectrum awareness in cognitive radio systems. Cyclostationary signals is one, that exhibits a statistical property to identify whether the signal is treated to be a stochastic or a deterministic time. However there are many criterias to be developed, led to investigate the problem in digital modulation. The problems are overcome by using different algorithms which includes Single Carrier Linearly Digitally modulated (SCLD) signals, Orthogonal Frequency Division Multiplexing (OFDM), Block Transmitted-Single Carrier Linearly Digitally modulated (BT-SCLD) signals. Analytical closed-form expressions are derived for the cyclic autocorrelation function (CAF), cyclic spectrum (CS), complementary CAF (CCAF), and corresponding cycle frequencies (CFs). Furthermore, the conditions for avoiding aliasing in the cycle and spectral frequency domains are obtained. The paper demonstrates that the effectiveness of proposed algorithm under low signal-to-noise ratios (SNRs), short sensing times, and various channel conditions.