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| Target Detection Algorithm for Multistatic Radar with Registration Errors |
| HU Qinzhen SU Hongtao LIU Ziwei ZHOU Shenghua YANG Yang |
(National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China)
(Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an 710071, China) |
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Abstract In a multistatic radar system, perfect registration is unavailable in practice even after a registration process. In this paper, a target detection problem for a distributed Multiple-Input Multiple-Output (MIMO) radar with registration errors is considered. To estimate target positions by weather using a knowing a priori information of registration errors or not, a Maximum A Posteriori Generalized Likelihood Ratio Test (MAP-GLRT) detector and a Maximum Likelihood GLRT (ML-GLRT) detector are proposed. The MAP-GLRT detector outperforms the ML-GLRT detector due to the prior information. The two proposed algorithms have better detection performance over the conventional detection fusion algorithm with registration errors. Simulation results verify the effectiveness of the proposed detection algorithms.
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Received: 07 March 2016
Published: 09 October 2016
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| Fund: The National Natural Science Foundation of China (61372134, 61401329) |
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Corresponding Authors:
SU Hongtao
E-mail: suht@xidian.edu.cn
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