In actual urban scenes, the uncanonical facilities complicate the EM wave propagation environment, which makes traditional methods hard to work. To solve this problem, a novel method for Localization based on ray tracing is established. Firstly, the ray tracing technique is introduced to calculate the theoretical propagation path from the target, by which a dictionary of predicted multipath signals relative to different position parameters is constructed. Consequently, the position of the target can be estimated via matching Euclidean distance between the received multipath echoes and the predicted multipath dictionary. The simulation experiments show that the proposed method has higher localization accuracy especially in complicated scene.
KEYWORDS: Radar, Doppler effect, Error analysis, Signal detection, Signal processing, Target detection, Radar signal processing, Data processing, Wave propagation, Sun
Multi-target localization in a multipath environment is a complex problem. The localization accuracy of the existing Time of Arrival (ToA)-based monostatic radar localization method is low under the condition of multi targets and a high error level. A multi-target localization method based on joint utilization of ToA and Doppler via monostatic radar is proposed in this paper to solve this problem. The proposed method can improve the localization accuracy effectively under the premise of known ToA and Doppler frequency. Initially, the proposed method analyzes the relationship between the Doppler frequency of multipath returns and the actual velocity of the target. Then the ToA-based localization method can obtain the initial estimation position of each target, and the direction of velocity corresponding to Doppler frequency is obtained according to the initial estimation position. Based on the principle of velocity vector synthesis, we can obtain the estimation velocity of each target. Finally, the invalid position in the initially estimated place is detected by using the velocity consistency theorem. Simulation results show that the proposed method can eliminate the invalid estimation position and improve localization accuracy in a high error level and multiple targets.
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