The Design Of Target Tracking System Based On Adaptive Waveform Selection

The transmitting signal waveforms of fixed parameters are used in conventional radars for the target detecting and tracking. With the concept of Cognitive Radar, it can adaptively change the waveforms of the transmitted signal as the environment changes, in order to detect and track the target accurately, effectively and stably, which can improve its performance. For this reason, how to select the transmitted waveform adaptively and how to design the target tracking system of adaptive waveform selection become the emphasis in this paper’s research.This paper firstly studies the radar signal theory of ambiguity function. Ambiguity function can fully reflect the measuring precision and resolution in the distance and speed. Therefore, it has very important significance both for the design of the optimal radar waveform and the establishment of the Cognitive Radar waveform library. Then, This paper begins with several kinds of radar transmitted signals, infers their ambiguity function, and draws the ambiguity plot with Matlab, analyzes their characteristics.Secondly, the adaptive waveform selection algorithm based on Kalman filtering is studied. Through the Cramer-Rao lower bound (CRLB) of the measurement noise covariance, the transmitted waveform parameters are introduced into the measurement noise covariance and the relationship between the transmitted waveform and the Kalman filtering is established. And this algorithm is simulated adopting two different waveform selection criterions to show the Cognitive Radar detect and track targets more effectively than the conventional radar.Finally this paper designs the target tracking system based on adaptive waveform selection according to the theory of adaptive waveform selection algorithm. The echo signal of radar is processed in FPGA to get the target state information which will be transferred to DSP to calculate the parameter of the optimal transmitted signal. Then the FPGA gets the transmitted signal from Flash with the data which is transferred from DSP, and outputs the data of the transmitted signal after it is converted from parallel to serial.In conclusion, this paper studies the adaptive waveform selection algorithm of Cognitive Radar, designs the target tracking system based on adaptive waveform selection which is implemented partially in FPGA and DSP. FPGA can achieve effectively the CFAR processing of the target and other related processing. DSP can achieve the adaptive waveform algorithm and exchange data with FPGA successfully. This paper has an important significance to the further study of the adaptive waveform selection of Cognitive Radar.