Delay and Phase Prediction Method for Distributed Coherence-synthesizing Radar

The Distributed Coherence-synthesizing Radar efficiently use multi-radar airspace and energy resources to significantly improve radar detection range and measurement accuracy, providing a solution to the contradiction between long range detect and flexibility. However, for high-speed targets, the fast movement leads to parameters estimation for Coherence-synthesizing lagging behind actual target's location. Under these circumstance parameters estimation must be predicted in order to achieve Transmit-Receive-Coherence. This passage firstly builds the signal model of parameters estimation for Distributed Coherence-synthetic Radar and gives the variation pattern of parameters caused by target motion, then proposes a new prediction method of delay and phase for Coherence-synthetic based on the tracking filter model. At last, actual radar tracking data will be analyzed, whose result verify the validity of the proposed method.

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