A multichannel noncoherent integration detection method based on high range resolution profile was presented in this paper. According to the property of the moment generating function, the distribution characteristics...A multichannel noncoherent integration detection method based on high range resolution profile was presented in this paper. According to the property of the moment generating function, the distribution characteristics of the noncoherent integrated signals with or without target presence were derived under the circumstance with noncorrelated Gaussian distribution noises. The loss of noncoherent integration was due to improper selection of integration range of cell numbers. A multi channel noncoherent integration detection scheme where the integration number in each channel va ries was proposed to solve this problem. The quality of this method for detection of various targets was evaluated. A comparison of fixed integration range cell number detection and multichannel inte gration detection for a high range resolution profile was presented. Simulation results indicated that the principle of the method was correct and performed well for unknown physical dimension targets. The method required little prior knowledge about target and was convenient for practical implementa tion.展开更多
Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar...Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Takingthe methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Where-upon, a template library for target recognition is built by the projection of a class-mean vector made from the radar dataonto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and eachtemplate in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar dataarte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noisewhen SNR≥5dB.展开更多
空间目标由于高速运动和微运动在电磁波上的调制效应,其动态实测的雷达散射截面(radar cross section,RCS)和高分辨一维距离像(high resolution range profile,HRRP)与暗室测量或电磁计算数据存在较大的差异。针对空间目标外场动态测量...空间目标由于高速运动和微运动在电磁波上的调制效应,其动态实测的雷达散射截面(radar cross section,RCS)和高分辨一维距离像(high resolution range profile,HRRP)与暗室测量或电磁计算数据存在较大的差异。针对空间目标外场动态测量数据难以获取的难题,提出了用目标静态数据生成动态RCS和一维距离像数据的方法。该方法首先确定目标的轨道和雷达的布站坐标及工作模式,而后计算目标在雷达观测视线(line of sight,LOS)方向上的姿态和运动参数,最后根据空间目标高速运动、自旋、进动等在电磁波上调制的数学模型生成动态测量数据。给出了该方法的具体步骤,仿真实验证明了方法的有效性。展开更多
结合基于概率主成分分析(Probabilistic Principal Component Analysis,PPCA)模型的高分辨率一维距离像(High Resolution Range Profiles,HRRP)目标识别流程,出于辅助进行研究、降低开展实验时数据准备与平台搭建复杂度的功能需求,利用M...结合基于概率主成分分析(Probabilistic Principal Component Analysis,PPCA)模型的高分辨率一维距离像(High Resolution Range Profiles,HRRP)目标识别流程,出于辅助进行研究、降低开展实验时数据准备与平台搭建复杂度的功能需求,利用Matlab appdesigner设计完成了一套综合仿真平台。该平台能够实现对单极化以及全极化复数域HRRP的数据仿真,并且能够进行目标分类识别和识别性能评估,为后续研究的开展打下了坚实的基础。展开更多
基金Supported by the Advanced Research Foundation of General Armament Department(51307020101)
文摘A multichannel noncoherent integration detection method based on high range resolution profile was presented in this paper. According to the property of the moment generating function, the distribution characteristics of the noncoherent integrated signals with or without target presence were derived under the circumstance with noncorrelated Gaussian distribution noises. The loss of noncoherent integration was due to improper selection of integration range of cell numbers. A multi channel noncoherent integration detection scheme where the integration number in each channel va ries was proposed to solve this problem. The quality of this method for detection of various targets was evaluated. A comparison of fixed integration range cell number detection and multichannel inte gration detection for a high range resolution profile was presented. Simulation results indicated that the principle of the method was correct and performed well for unknown physical dimension targets. The method required little prior knowledge about target and was convenient for practical implementa tion.
基金This project was supported by Advanced National Defence Program of China(41307050103)Advanced National Defence Found of China(00JS24.3.2DZ0117).
文摘Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Takingthe methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Where-upon, a template library for target recognition is built by the projection of a class-mean vector made from the radar dataonto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and eachtemplate in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar dataarte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noisewhen SNR≥5dB.
文摘空间目标由于高速运动和微运动在电磁波上的调制效应,其动态实测的雷达散射截面(radar cross section,RCS)和高分辨一维距离像(high resolution range profile,HRRP)与暗室测量或电磁计算数据存在较大的差异。针对空间目标外场动态测量数据难以获取的难题,提出了用目标静态数据生成动态RCS和一维距离像数据的方法。该方法首先确定目标的轨道和雷达的布站坐标及工作模式,而后计算目标在雷达观测视线(line of sight,LOS)方向上的姿态和运动参数,最后根据空间目标高速运动、自旋、进动等在电磁波上调制的数学模型生成动态测量数据。给出了该方法的具体步骤,仿真实验证明了方法的有效性。
文摘结合基于概率主成分分析(Probabilistic Principal Component Analysis,PPCA)模型的高分辨率一维距离像(High Resolution Range Profiles,HRRP)目标识别流程,出于辅助进行研究、降低开展实验时数据准备与平台搭建复杂度的功能需求,利用Matlab appdesigner设计完成了一套综合仿真平台。该平台能够实现对单极化以及全极化复数域HRRP的数据仿真,并且能够进行目标分类识别和识别性能评估,为后续研究的开展打下了坚实的基础。
