The Design Of Detection Sequence For Distributed Multistatic Radar

Radar network is a necessity of modern defense system.Distributed detection is an important form of the radar network system in the future,and is an important component of the national defense strength.Research results of multi-station radar signal-level fusion detection and other results show that distributed detection can improve the performance of radar systems significantly.Current signal fusion research focuses on optimization of the detection capability,to ensure that the detection performance loss of signal fusion is small and the positioning accuracy is high.These advantages still reckon on the power allocation of the radar transmitter in space.However,relevant research in this area is still rare.Multi-radar systems have more resources,and collaborative allocation of multi-static radar resources can improve radar system performance greatly.This thesis uses existing signal fusion algorithms,and then regulates time,space power resources,to reduce the missed detection probability in surveillance volume,the revisit time and the communication bandwidth of a distributed radar system.The main contents are:The first chapter briefly summarizes the research background,including the foreign and domestic research status.The second chapter mainly studies multi-static radar signal-level fusion detection algorithms.This chapter mainly introduces several signal fusion detection algorithms under known and unknown noise level.It gives a signal model and theoretical basis for future discussion.We also analyze the performance differences of several signal fusion detection algorithms under different backgrounds.The third chapter mainly studies the method of spatial partition in surveillance volume.The spatial partition of key areas is closely related to the detection performance of distributed radar systems.This chapter provides two spatial classification criteria based on radar station detection performance and distributed system positioning accuracy,which is different from the spatial classification criteria of traditional single-station radar.In this way,the spatial partition of key surveillance volume is achieved.The fourth chapter mainly studies the beam dwelling time and pulse transmission time regulation of radar transmitters.Based on Chapters 2 and 3,a radar station beam dwelling time regulation method is given.When the beam dwelling time of radar stations is known,we optimize the scanning order of the distributed radar system and regulate the pulse transmission time of local radar transmitters to reduce revisit time,which has the advantages of lower computational costs and shorter time-consuming performance.The fifth chapter mainly discusses a distributed radar data compression signal fusion target detection processing architecture.Unlike traditional architecture,the key idea of this architecture is to encrypt the radar echo signal data,which may contain the target signals,and then to transmits them to a fusion center for a global decision.Experimental results show that this method can effectively reduce the communication bandwidth,improve the security features,and at the same time make the whole system maintain a good detection performance.The sixth chapter is the summary of the full paper and the outlook for the future works.