Research On Motion False Target Identification For Random Modulated Radar Based On Morphological Component Analysis

With the rapid development of Digital Radio Frequency Memory(DRFM)jamming system,false target jamming gains much more research and application because its high verisimilitude with target echo and high coherence,which pose the most serious challenge upon the detection and identification of the radar system.This thesis analysis the motion false target jamming of the narrowband radar.The motion false target identification and separation method based on morphological component analysis is proposed by adopt random modulated signal.The main work and research results are shown as follow:The first chapter is introduction.It reveals the development of the radar countermeasures.The research status of random modulated radar is shown in this chapter as well as the meaning and feasibility of the research on the motion false target identification based on MCA for the random modulated radar.The second chapter mainly researches the model foundation of motion target(including translation and micro motion target)and active false target.The two typical random modulated signal,including random pulse repetition interval(RPRI)and random pulse initial phase(RPIP)signal,are considered and their motion target echo mathematic model are built.Moreover,the motion false target's mathematic model under the two type radars is also built when the DRFM works at receiving and transmitting simultaneously mode.The third chapter mainly focuses on the velocity false target identification based on MCA,velocity false target identification algorithm for both RPRI and RPIP radar based on MCA is proposed and explained.The sparse presentation dictionaries of the real and false target echoes are built.Then the difference in random parameters between the false and real target are utilized to separate the true and false target at the Doppler domain under the frame of MCA.Also,the mutual coherence between the two dictionaries is analyzed because it has a vital influence on the separation of the true and false target.By analysis,we concluded that such coherence under our method is low enough to guarantee the efficacy.Moreover,a minimum entropy based algorithm is also proposed to evaluate the jamming lag which is essential for the RPIP radar to build the false target represent dictionary.The forth chapter mainly analysis micro motion false target identification based on MCA,micro motion false target identification algorithm for both RPRI and RPIP radar based on MCA is proposed and explained.The algorithm solve the problem that when the DRFM jammer imitate false micro motion target the radar cannot identify the false micro motion target The algorithm separate the true and false target signal under the MCA algorithm by building the true and false target signal represent dictionary.The fifth chapter makes a summary of the studies and main contributions in this thesis.The perspectives of false target identification of random modulated radar based on morphological component analysis are provided and some open problems are also presented.