Performance gain bounds of coherently combining multiple radars in a target-based calibration manner

doi:10.21629/JSEE.2019.02.07

Journal of Systems Engineering and Electronics ›› 2019, Vol. 30 ›› Issue (2): 278-287.doi: 10.21629/JSEE.2019.02.07

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Performance gain bounds of coherently combining multiple radars in a target-based calibration manner

Xinghua LIU*(), Zhenhai XU(), Shunping XIAO()

State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China

Received:2017-11-07 Online:2019-04-01 Published:2019-04-28
Contact: Xinghua LIU E-mail:xinghua217@163.com;drxzh930@sina.com;nudt@163.com
About author:LIU Xinghua was born in 1993. He received his B.E. degree from Xidian University in 2012. In 2015, he received his bachelor's degree from Electronic Engineering Institute. Now he is a Ph.D. candidate in National University of Defense Technology (NUDT). His research interests are array signal processing and radar cooperative detection technology. E-mail:xinghua217@163.com|XU Zhenhai was born in 1977. He received his B.E. and Ph.D. degrees from the National University of Defense Technology (NUDT) in 1998 and 2004, respectively. He is currently a professor at NUDT. His research interests are array signal processing and radar polarimetry. E-mail:drxzh930@sina.com|XIAO Shunping was born in 1964. He received his B.E. and Ph.D. degrees in electronic engineering from the National University of Defense Technology (NUDT) in 1986 and 1995, respectively. He is currently a professor in NUDT. His research interests are radar polarimetry, radar array signal processing, SAR and target recognition. E-mail:xiaoshunping nudt@163.com
Supported by:
the National Natural Science Foundation of China(61471372);This work was supported by the National Natural Science Foundation of China (61471372)

Abstract

Abstract:

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.

Key words: coherently combining multiple radars, Cramer-Rao bound (CRB), coherence gain

Xinghua LIU, Zhenhai XU, Shunping XIAO. Performance gain bounds of coherently combining multiple radars in a target-based calibration manner[J]. Journal of Systems Engineering and Electronics, 2019, 30(2): 278-287.

Figures/Tables 5

References 30

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Performance gain bounds of coherently combining multiple radars in a target-based calibration manner

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