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空间目标双基地ISAR成像的速度补偿研究 总被引:1,自引:0,他引:1
以空间目标双基地ISAR成像为背景,研究了空间目标双基地速度估计与速度补偿问题。首先推导了高速空间目标宽带LFM信号双基地回波表达式,针对中频直接采样匹配滤波非相参双基地ISAR,研究了高速运动对二维成像的影响,通过目标双基地速度估计,构造补偿相位项,实现高速目标双基地回波速度补偿。在分析双基地测速误差对速度补偿及二维成像影响的基础上,提出了窄带测距粗测速度解模糊与窄带回波时频分析精测速度相结合的空间目标双基地径向速度估计方法。仿真表明了分析的正确性。 相似文献
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针对采用均值类恒虚警检测方式的线性调频脉冲压缩雷达,本文提出间歇采样非均匀重复转发(ISNPR)实现多假目标压制干扰的方法.首先阐述了间歇采样转发干扰(ISRJ)产生多假目标的机理,同时对多假目标压制干扰的假目标参数进行了推导,包括假目标个数和信噪比.然后结合间歇采样重复转发干扰(ISPRJ)的数学原理,对间歇采样非均匀重复转发干扰(ISNPRJ)的多假目标压制效果进行了理论分析,并推导了干扰机参数如采样脉冲宽度、间歇采样周期、转发脉冲宽度以及发射功率的计算方法.最后对ISNPRJ的多假目标压制效果进行仿真验证,仿真结果表明该方法能够降低雷达对目标的检测概率,实现对雷达检测环节的有效压制. 相似文献
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适用于组合特征识别的最近邻模糊分类器 总被引:2,自引:0,他引:2
在用多种特征进行简单的串联组合识别时,不同特征具有不同的特征类型和衡量尺寸,针对串联组合特征的这种特点,提出了一种最近邻模糊分类器.该分类器首先把待识别目标的组合特征与训练模板中的组合特征样本一一进行比较,从而得到了一个特征差矩阵.提出用模糊分布函数在同类特征差之间进行处理,生成一个隶属度矩阵,然后用算术平均法对隶属度矩阵进行处理,并用最大隶属度准则来进行分类判决.识别框架表明最近邻模糊分类器对组合特征中的各种不同特征的特征类型和衡量尺寸没有一致性要求,也无需对串联组合特征矢量做任何预处理.最后,用外场实测数据进行验证,结果表明,最近邻模糊分类器能够有效地解决多种特征串联组合的雷达目标识别问题. 相似文献
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The normalized central moments are widely used in pattern recognition because of scale and translation invariance. The moduli of normalized central moments of the 1-dimensional complex range profiles are used here as feature vector for radar target recognition. The common feature extraction method for high resolution range profile obtained by using Fourier-modified direct Mellin transform is inefficient and unsatisfactory in recognition rate And. generally speaking, the automatic target recognition method based on inverse synthetic aperture radar 2-dimensional imaging is not competent for real time object identification task because it needs complicated motion compensation which is sometimes too difficult to carry out. While the method applied here is competent for real-time recognition because of its computational efficiency. The result of processing experimental data indicates that this method is good at recognition. 相似文献
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The m series with 511 bits is taken as an example being applied in non-coherent integration algorithm. A method to choose the bi-phase code is presented,which is 15 kinds of codes are picked out of 511 kinds of m series to do non-coherent integration. It is indicated that the power increasing times of larger target sidelobe is less than the power increasing times of smaller target mainlobe because of the larger target’s pseudo-randomness. Smaller target is integrated from larger target sidelobe,which strengthens the detection capability of radar for smaller targets. According to the sidelobes distributing characteristic,a method is presented in this paper to remove the estimated sidelobes mean value for signal detection after non-coherent integration. Simulation results present that the SNR of small target can be improved approximately 6 . 5 dB by the proposed method. 相似文献
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