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This study deals with investigating the chirp signal detection obtained from the moving target in the presence of the destructive factor (leakage) and Gaussian noise using the generalised almost-cyclostationary (GACS) and Hough transform (HT) signal processing altogether (i.e. GACS-HT) approaches. To do so, a receiver was designed hierarchically using the above approach in this study. In this receiver, the detection and extraction of linear frequency modulation takes place in the subspace of the cyclostationary and Hough which have unique characteristics. In order to detect the target, the relative velocity was analysed in the cyclostationary subspace while the relative acceleration was analysed in the Hough space. Due to using the simulation, the behaviour of this receiver was measured by different subspaces for different parameters in the presence of noise and destructive factor. Ultimately, the efficiency of the presented approach was analysed and compared with other approaches. The results indicated that the GACS-HT approach is more efficient than the energy detector approach and in terms of complexity it is almost as complex as the LV transform approach.

This paper deals with the problems of detecting a chirp signal of motion target against a strong undesired signal from the transmitter in radar. We use Generalized AlmostCyclostationary (GACS) signal processing method to determine the rate and initial frequency of the chirp signal in presence of the strong undesired signal. This technique which exploits the second order cyclostationary to detect features of the chirp signal in low SNR has desirable properties. The study utilized a method to determine and characterize signals for highly adverse signal to interference plus noise and explain how using cyclostationary properties can extract features of chirp signal from the mixture received signal. The theory and simulation of this method indicated that the chirp rate depends on the lag parameter and the cycle frequency.

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This study deals with estimating the parameters of the received signal of the poly phase in three orders. The process of estimation occurs in two stages: in the first stage, the high orders of the signal are estimated highly accurately using the Non Uniform FFT. The received signal passes through the componential match filter which has been estimated highly accurately. As it passes through this filter, the order of the ploy phase decreases. In the second stage, the components of the low order of the ploy phase signal are estimated highly accurately using the Short Time Frequency Transform (STFT) method. Finally, the findings of the stimulation in these two stages indicated the efficiency of the presented algorithm for the received signal parameters including the initial frequency, the chirp rate, and the change chirp rate.