An Integrated Waveform Design Of Radar Communication Based On MCPC Signal

With the rapid development of information technology,in the current complex environment of war,the integration of communication equipment and radar equipment has many advantages,such as saving space,greatly reducing equipment development and maintenance costs,and reducing electronic interference among equipment.With the rapid development of communications technology and radar technology,the frequency bands used by communications and radar also coincide,and the similarity between the two devices is high,making it possible to integrate communications radars.The degree of signal integration using shared waveform design is very high,and it has become one of the hot spots in the research of integration.The MCPC signal has a wide range of applications in the field of communications and radar because of its flexible design,and it has great potential as an integrated signal.In this paper,the following work has been done on the research of MCPC communications radar integrated signal:First of all,the overall introduction of the communication radar integrated framework diagram,introduced the modules that can be integrated.The basic signal structure of the MCPC signal is given and the time and frequency domain forms of the signal are given.The peak-to-average ratio problem,which is very important in communications radars,was discussed.Then the signal ambiguity function is introduced.Finally,it describes the parameters of the integrated signal for communications radar.Next we discuss the feasibility of using Golay complementary code,segment complementary Frank codes,Costas coding to make signals as integrated signals and study how they load communication information,and evaluate them by analyzing the communication rates and bit error rates of these codes.Communication performance and evaluation of its radar performance through ambiguity functions.Finally,the method of speed measurement and ranging of integrated signals is discussed.Firstly,the echo model of integrated signal reception is given.The function of the received signal is theoretically given,and the classic pulse compression method is studied.Pulse compression to optimize performance.Analyze the resolution of MUSIC algorithm and ESPRIT algorithm in thesuper-resolution algorithm for velocity measurement ranging.Finally,propose the LS channel estimation method for velocity measurement ranging,improve the efficiency of velocity measurement ranging,and can have strong anti-interference characteristics and high Speed?measurement accuracy,and finally through the simulation of a comparison of the integrated signal of the three encoding methods in the previous chapter,to obtain the advantages and disadvantages of the speed measurement performance.