Parameters extraction and Suppression of Interrupted Sampling Periodic Repeater Jammer in LFM Pulse Compression Radar

Linear frequency modulation (LFM) pulse compression radar is one of the modern radars, it has high processing gain, and high immunity against conventional jamming techniques. However, it is severely affected by coherent jamming techniques. Interrupted sampling periodic repeater jamming technique can produce multiple false targets in range at the matched filter output. This study aims to suppress the effect of this jamming technique, the published literature presented many techniques to suppress the jamming signal through various jamming signal parameters extraction methods. In this paper a suppression process is proposed to effectively extract the jamming signal parameters, These parameters are the number of interrupter sampling slices, the jamming forwarding times, and the slice width, they are extracted using a proposed robust statistics threshold crossing, the intercepting slice number is extracted from the discrete cosine transform of the deconvolution process. The parameter extraction leads to jamming signal reconstruction, and then the jamming signal is suppressed from the received signal. The proposed method performance is verified using Monte Carlo simulations to estimate the relative error in measuring the slice width with respect to JNR, this performance was estimated in realistic radar environment that includes Gaussian noise and non-Gaussian clutter model (K-distributed clutter). The results demonstrates an improvement in slice width error estimation for the favor of the proposed method by 2.6%, which, in turn enhances jamming signal suppression to be 28.29 dB.