Abstract
By repeatedly sampling, storing, and retransmitting parts of the radar signal, interrupted sampling repeater jamming (ISRJ) based on digital radio frequency memory (DRFM) can produce a train of secondary false targets symmetrical to the main false target, threatening to mislead or deceive the victim radar system. This paper proposes a computationally-effective method to estimating the parameters for ISRJ by resorting to the framework of alternating direction method of multipliers (ADMM). Firstly, the analytical form of pulse compression is derived. Then, for the purpose of estimating the parameters of ISRJ, the original problem is transformed into a nonlinear integer optimization model with respect to a window vector. On this basis, the ADMM is introduced to decompose the nonlinear integer optimization model into a series of sub-problems to estimate the width and number of ISRJ’s sample slices. Finally, the numerical simulation results show that, compared with the traditional time-frequency (TF) method, the proposed method exhibits much better performance in accuracy and stability.
Highlights
Accordingtotothe the generation mechanism of interrupted sampling repeater jamming (ISRJ), of radar signal areinterfirstly inAccording generation mechanism of ISRJ, partsparts of radar signal are firstly tercepted stored in memory
The jammer transmits the corresponding slice of slice of signal repeatedly to counter the radar, generate large number signal repeatedly to counter the radar, whichwhich could could generate a large anumber of more of re-more realistic coherent false targets jamming principle of ISRJ
The results indicate that the false targets generated from ISRJ
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. In Zhou et al [31], the pulse compression results of ISRJ were analyzed by the time-frequency (TF) method to obtain the characteristic parameters, which include the number of sample slices and the period of forwarding. The slice width is estimated further by deconvolution processing This method is not applicable for the case that the jammer forwards multiple radar signals. Most parameter estimation methods for ISRJ based on TF analysis have high computation complexity, which leads to obstacles for the real-time application in a practical radar system. The ADMM method is introduced to decomposing the nonlinear integer optimization problem into several simple sub-problems with lower computation complexity to estimate the width and the number of sample slices, which achieves better performance for ISRJ than the TF analysis methods used in the published literature.
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