| A virtual aerial drone system is presented in this paper, which can position targets to measure the precision of weapon system at a low cost. Based on actual target practice scenes, it utilizes the range-only based multistatic radar system to position and track target with Millimeter-wave linear frequency modulated continuous wave (LFMCW) signal. It accomplishes the identification of weapon system through comparing the measured results with expected results.Firstly, selections of the system’s parameters are analyzed. The simulation of bistatic Radar Cross-Section, selections of LFMCW signal’s modulation band-width and frequency, power budget are discussed, confirm feasibility of the solution.Secondly, the performance and optimization algorithms of target positioning are studied. It focuses on the relation between precision and target location under the circumstance of 2D and 3D respectively, and compares the effect of data optimization and dynamic weighted algorithm.Thirdly, the derivation of range-only based multistatic LFMCW radar ambiguity function is proposed. The range resolution and speed resolution are discussed through ambiguity function, the range velocity coupling is studied via Doppler relation of bistatic radar and ambiguity function respectively.Fourthly, the resolving approach to range velocity couplinig is presented. The formula for beat-signal is derived from range-only based bistatic system’s model. Frequency domain pairing method to solve the range velocity coupling problem is studied by means of plus and minus slope of frequency modulation. And Fractional Fourier Transform is adopted to estimate the center frequency of beat-signal.Finally, the method to track target based on Extended Kalman Filter (EKF) algorithm is studied. The motion model and measuration model are derived from mathematic model of the system, and the elimination of outliers in Kalman Filter algorithm is discussed. The formula and simulation results of EKF algorithm are given in the end.
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