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�������պ����ѧѧ�� 2012, Vol. 38 Issue (6) :835-841    DOI:
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��ǿ1, ��ΰ2, ����2*
1. ����װ���о�Ժ, ���� 100036;
2. �������չ���ѧԺ, ��Ϣ�ںϼ����о���, ��̨ 264001
Multi-sensor multi-target systematic bias fusion estimation algorithm
Song Qiang1, Xiong Wei2, He You2*
1. Naval Academy of Armament, Beijing 100036, China;
2. Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China

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Abstract�� To solve the problem of sensor systematic bias estimation in sensor network, a systematic bias fusion estimation algorithm was presented based on multi-sensor multi-target information. To solve the forenamed problem, the algorithm was constituted a two layer fusion structure. In order to improve the precision of corresponding combination estimation, the first layer fuses the multi-sensor combination state estimation information with feedback, so the estimation precision of systematic bias can also be improved. While, the second layer fuses the multi-target systematic bias estimation information in order to further improve the estimation precision. The monte-carlo simulation result shows that the algorithm can make sufficient use of the multi-sensor multi-target information with fusion structure, and achieve an exact and real-time estimation of the multi-sensor systematic bias.
Keywords�� systematic bias   sensor network   bias registration   information fusion     
Received 2011-05-06;
Fund:������Ȼ��ѧ����������Ŀ(60801049); ȫ�����㲩ʿѧλ��������ר���ʽ�������Ŀ(200443)
��ǿ, ��ΰ, ����.�ഫ������Ŀ��ϵͳ����ںϹ����㷨[J]  �������պ����ѧѧ��, 2012,V38(6): 835-841
Song Qiang, Xiong Wei, He You.Multi-sensor multi-target systematic bias fusion estimation algorithm[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2012,V38(6): 835-841
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2012/V38/I6/835
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