Research On Multistatic Radar Imaging Method Based On Compressed Sensing

The multistatic radar has higher security and concealment than the monostatic radar because the transmitters and receivers are placed separately,and more scattering information about the target can be obtained.Considering the complexity and high cost of multibstatic radar system,if reducing the complexity and cost of the system by reducing the number of system transceivers will lead to the poor effect of traditional imaging,it is very meaningful to study the sparse imaging of multistatic radar in this case.Then,because the performance of sparse imaging based on compression sensing is related to the spatial expansion of transmitters and receivers,this relationship can be used to optimize the station distribution of multistatic radar.Because the transmitter actively emits electromagnetic waves,there is a risk of exposure to their own position and general multistatic radar may be attacked.At this time,based on the existing multistatic radar research,it is very important to study the multistatic radar imaging based on GPS navigation signal.This paper first studies the bistatic radar imaging based on GPS navigation signal,and then uses data fusion technology to perform multistatic radar fusion imaging based on GPS navigation signal according to the bistatic scattering center model.In this paper,the imaging of multistatic radar is studied by means of compressed sensing theory and data fusion technology to improve the imaging quality.For the above content,the work completed is divided into the following three parts:The first part introduces the background and research significance of multistatic radar,and then introduces the development of multistatic radar imaging system and radar imaging based on the theory of compressed sensing.The second part studies the sparse imaging of multistatic radar based on step frequency signal.The whole research in this part is based on the theory of compressed sensing.First,the sparse imaging model under configurations of multiple transmitters and multiple receivers is established,and the sparse reconstruction is carried out according to the echo obtained from multiple transmitters and multiple receivers.Then,based on the relationship between the performance of the sparse image and the distribution station of the transmitters and receivers,the distribution optimization of the transceiver is carried out.Passive multistatic radar imaging based on gps navigation signal is studied in the third part.Firstly,the constitution of navigation signal and the concept and properties of its core pseudo-random code are introduced,and the scattering echo model based on navigation signal is derived.Secondly,the one-dimensional and two-dimensional imaging of passive bistatic radar based on navigation signal is studied.Finally,the sparse representation model of two-dimensional radar echo is derived,and the data fusion technology is used for passive multistatic radar imaging.