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| Ship Formation Target Recognition Based on Spatial and Temporal Fusion Hidden Markov Model |
| Dan Bo① Jiang Yong-hua① Li Jing-jun① Lu Yi② |
①(Department of Electronic Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)
②(Navy Armament Department, Chengdu 610100, China) |
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Abstract Based on the target large angle domain High Resolution Range Profile (HRRP) information of the ship formation obtained by the terminal guidance radar during its search phase, this study establishes an “ergodic” Spatial Hidden Markov Model (SHMM) which describes statistical relationship between the vectors in a single HRRP sample and a “left to right” Temporal HMM (THMM) which describes statistical relationship between HRRP samples. In comparison with the method that it only establishes a THMM model with the training data of all-round angle of one target, the proposed method makes full use of the target HRRP information of large angle domain and can improve the recognition performance. Through the simulation of the five types of ship target and the field measured data analysis of three kinds of civilian vessels show that the effectiveness of the proposed method.
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Received: 08 May 2014
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Corresponding Authors:
Dan Bo
E-mail: lovelyn19841204@163.com
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2015, Vol. 37 
