Fuzzy logic classifier design for air targets recognition based on HRRP |
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| Institution: | 1. University of Cassino and Lazio Meridionale, via G. Di Biasio, 43, 03043 Cassino (FR), Italy;2. CNIT Research Unit, Viale G.P. Usberti, 181/A Pal.3, 43124 Parma (PR), Italy;3. University of Parma, Strada Dell’Università, 12, 43100 Parma (PR), Italy;1. State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, China;2. College of Electronic and Communication Engineering, Tianjin Normal University, China |
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| Abstract: | The paper describes a fuzzy logic classifier (FLC) to achieve the recognition for air targets. We first acquire the high range resolution profiles (HRRP) of three types of air targets from the measurements. We extract two typical features, namely, the length of the air targets and the difference between adjacent two HRRP based on HRRP from the measurements. Then we design the FLC to synthesize the two characters and identify the type of air targets. Simulation results show that our FLC can achieve the function of target recognition with a high ratio of recognition and also show a robust performance to some extent. |
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| Keywords: | Target recognition HRRP Feature extraction Fuzzy logic classifier |
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