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Based on the time-frequency analysis of radar target recognition technology research

Author: PanKang
Tutor: ShengWeiXing
School: Nanjing University of Technology and Engineering
Course: Communication and Information System
Keywords: Radar Target Recognition Time-frequency analysis Short time Fourier transform Feature extraction
CLC: TN957.51
Type: Master's thesis
Year: 2010
Downloads: 182
Quote: 2
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Abstract


In this thesis, the radial movement of the objectives of the air with the characteristics of the micro for the study, carried out based on the time-frequency analysis of high resolution radar target recognition technology research . The main work of this paper are: 1. Improved GRECO modeling software , to achieve dynamic RCS . The target trajectory Add read the module to meet the needs of the target complex motion , radar waveform selection module modeling software is more close to the real radar systems . And three simple target column cone , cone, sphere and cone as the object of study in its radial motion at the same time to produce rotation , tumbling and other micro dynamic RCS , the GRECO dynamic modeling software to calculate the target . Wigner-Ville transform , short time Fourier transform ( STFT ) and wavelet transform time-frequency analysis methods were studied . In the MATLAB software platforms , the use of short-time Fourier transform time-frequency analysis on the modeling of the moving target echo signal , the time-frequency distribution image of the moving target echo signal . Established in accordance with the target trajectory and attitude animating the interface between the contact in the target modeling and object recognition . Proposed a new time-frequency characteristics of target recognition algorithm . Pixel-by-pixel scanning algorithms to target echo signal time-frequency distribution image feature extraction , using the nearest neighbor classifier judgment classification . The same in the time-frequency distribution extracted based on the singular value as a feature to identify than the proposed method has a higher recognition rate . Simulation results verify the correctness and effectiveness of the algorithm .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Radar signal detection and processing
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