Research On Distributed Radar Jamming Suppression Algorithm And Simulation Implementation

In the modern battlefield,the importance of radar can not be ignored,it can not only provide effective defense,but also play an important role in the attack,even affect the outcome of the war.However,the emergence of active jamming brings great challenges to traditional radar,including suppression jamming,deception jamming,smart noise jamming and so on.With the rapid development of modern electronic warfare technology,the jamming means of radar implementation are constantly evolving,which further raises the requirement of radar anti-jamming ability.Because of the single station radar’s single operating mode and limited detection range,distributed radar has been widely concerned.The emergence of distributed radar enables the radar system to build a more comprehensive and complex three-dimensional combat system.Node radars distributed at different locations in space can adopt a variety of frequency bands and working systems,and have innate anti-jamming advantages compared with single-station radars,which makes the study of interference suppression algorithm based on distributed radar become a field of interest for scholars at home and abroad.This thesis carries out the research on jamming suppression algorithm for active jamming under distributed radar system.Focusing on spoofing jamming algorithm and main-lobe jamming suppression algorithm,the following aspects of work are mainly done:1.Several common types of active interference are studied,and their time-frequency domain properties and statistical characteristics are discussed at the same time of modeling,and their jamming effects on linear frequency modulation signals are simulated,and the simulation diagram of different types of interference in time domain and frequency domain is shown,and the distributed radar jamming signal model is also studied.2.Data level and signal level spoofing suppression algorithms of distributed radar are studied.The data level spoofing suppression method is mainly based on the spatial correlation difference between true and false targets in position and velocity.For range spoofing,an anti-spoofing algorithm based on time-delay positioning is adopted.Simulation shows the influence of radar positioning error and jamming distance on algorithm performance.Signal level against deception jamming method is to use relevant differences between true and false targets for realizing the objective of the true and false identification,based on space scattering characteristics are studied and the Hermitian distance deception jamming suppression algorithm,simulation results show that both the effectiveness of the algorithm.3.The main lobe suppression algorithm of distributed radar is studied.The distributed radar main-lobe suppression algorithm projected into noise subspace is introduced from the conventional spatial anti-main-lobe jamming algorithm.Experimental simulation shows that this method has a better suppression effect on the traditional noise main-lobe suppression jamming,and the influence of the selection of noise subspace dimension on target detection is evaluated.Finally,by combining data level fusion with signal level processing,the algorithm of maximum signal-to-noise ratio blind source separation distributed radar main lobe interference suppression is studied,and the feasibility of the algorithm is verified by simulation.