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频域谱相关自适应滤波的LPI信号可检测性与密集信号分选能力研究
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作者 崔滔 魏本涛 《电子对抗》 1997年第2期1-8,共8页
本文以谱相关理论为基础,针对低概率截获信号检测和密集信号分选问题,提出了利用频域谱相关自适应滤波技术对噪声和干扰环境下的LPI信号进行检测,以及对时域和功率谱域严重重叠信号进行分选。
关键词 lpi信号检测 密集信号分选 谱相关 自适应滤波
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LPI radar signal detection based on radial integration of Choi-Williams time-frequency image 被引量:26
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作者 Yongjian Liu Peng Xiao +1 位作者 Hongchao Wu Weihua Xiao 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2015年第5期973-981,共9页
This paper mainly revolves the time-frequency image of low probability of intercept(LPI) radar signals and carries out research work on image features selection and extraction and recognition. Since Choi-Williams dist... This paper mainly revolves the time-frequency image of low probability of intercept(LPI) radar signals and carries out research work on image features selection and extraction and recognition. Since Choi-Williams distribution(CWD) uses the exponential kernel of bilinear generalized class of time-frequency distribution, it has an excellent time-frequency aggregation. And it is suitable for detecting LPI radar signals in a low signal-to-noise ratio(SNR) condition. A radial integration method based on the integral rotating factor is proposed to detect LPI radar signals when the signals' time-frequency image is obtained. First, the digital image processing method is used to preprocess the LPI radar signals' time-frequency images after CWD transformation; then, the radial integration method based on the integral rotating factor is used to detect LPI radar signals in the binary images. The analytic results of real data show that the method has a good performance on detecting LPI radar signals in a low SNR condition. Additionally,the method is simple and takes less logic resources and has the potential of real-time detection of LPI radar signals. 展开更多
关键词 low probability of intercept lpi integral rotating fac-tor signal detection image processing
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