Kazem Heydari - Department of Electrical Engineering Tarbiat Modares University, Tehran
Akbar Heydari - Department of Electrical Engineering Shahid Beheshti University, Tehran
Paeiz Azmi - Faculty of Electrical Engineering Tarbiat Modares University
Bijan Abbasi - Faculty of Electrical Engineering Tarbiat Modares University

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 Almost-Cyclostationary (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.

Chirp Signal, Cyclostationary initial frequency, Chirp rate