Delay and Phase Prediction Method for Distributed Coherence-synthesizing Radar

Autor: Baoliang Zhou, Ying Chen, Zijian Lei
Rok vydání: 2019
Předmět:
Zdroj: 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP).
DOI: 10.1109/icsidp47821.2019.9173349
Popis: 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.
Databáze: OpenAIRE