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Performance gain bounds of coherently combining multiple radars in a target-based calibration manner 被引量:4

Performance gain bounds of coherently combining multiple radars in a target-based calibration manner
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摘要 To achieve a high signal-to-noise ratio(SNR) while maintaining moderate radar antenna, a target-based calibration manner is available to coherently combine multiple radars. The key to this calibration manner is to estimate coherence parameters(CPs), i.e., time and phase calibration values in transmission and reception estimation, by separating the target returns into monostatic and bistatic echoes. However, CPs estimations exist uncertainties, which will affect the performance gain after multiradar coherent combination. The principle of coherently combining multiple radars is elaborated and the signal probability model for CPs estimation is established. On this basis, CPs Cramer-Rao bound(CRB) is derived in the closed-form, according to which the non-tight and tight upper bounds for multiple radars coherent combination performance gain are derived in the closed-form and via Monte Carlo(MC) simulations, respectively. Simulations validate the correctness of the derived CRB and gain bounds. To achieve a high signal-to-noise ratio(SNR) while maintaining moderate radar antenna, a target-based calibration manner is available to coherently combine multiple radars. The key to this calibration manner is to estimate coherence parameters(CPs), i.e., time and phase calibration values in transmission and reception estimation, by separating the target returns into monostatic and bistatic echoes. However, CPs estimations exist uncertainties, which will affect the performance gain after multiradar coherent combination. The principle of coherently combining multiple radars is elaborated and the signal probability model for CPs estimation is established. On this basis, CPs Cramer-Rao bound(CRB) is derived in the closed-form, according to which the non-tight and tight upper bounds for multiple radars coherent combination performance gain are derived in the closed-form and via Monte Carlo(MC) simulations, respectively. Simulations validate the correctness of the derived CRB and gain bounds.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2019年第2期278-287,共10页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China(61471372)
关键词 coherently COMBINING MULTIPLE radars Cramer-Rao BOUND (CRB) coherence gain coherently combining multiple radars Cramer-Rao bound(CRB) coherence gain
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  • 1HU Jie, ZHANG Yujun, LI Peng, WANG Hui, HUANG Lan & HU YuanzhongState Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China,Department of Physics, Tsinghua University, Beijing 100084, China,College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.Micro-mechanical analysis of dynamic processes of nanomanipulation[J].Science China(Physics,Mechanics & Astronomy),2004,47(z1):88-92. 被引量:28

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