复杂目标的时频特征提取及识别方法研究
TIME-FREQUENCY SIGNATURE EXTRACTING OF COMPLEX TARGET AND ITS RECOGNITION ALGORITHM
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摘要: 本文首先研究了复杂目标的时频分布,得出目标在较大方位角变化范围内其时频分布具有相对不变性的特点,而后,基于这稳定的时频特征,给出了目标识别方法。对三种飞机模型测量数据的识别结果表明,该方法有高的识别率和识别的鲁棒性。Abstract: In this paper, the time-frequency characteristics of complex targets are studied and the stability of time-frequency distribution of complex target is obtained with the aspect throughout the large angle range. Based on these table signatures, recognition algorithm is proposed. The experiments of recognition using the data of three kinds of aircraft target models are performed, and demonstrate that there are high recognition performance and robust recognition algorithm.
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