针对电子支援测量(electronic support measurement,ESM)信号存在多径干扰,从而影响信号特征提取以及雷达辐射源识别的问题,提出了一种基于L-Wigner分布的多径信号估计方法。首先分析了多径ESM信号模型和时频域匹配滤波算法,接着研究了L...针对电子支援测量(electronic support measurement,ESM)信号存在多径干扰,从而影响信号特征提取以及雷达辐射源识别的问题,提出了一种基于L-Wigner分布的多径信号估计方法。首先分析了多径ESM信号模型和时频域匹配滤波算法,接着研究了L-Wigner分布对于多分量高阶频率调制信号的分辨性能,根据自身项和交叉项的不同特点,提出采用L-Wigner分布对多径信号进行估计。该方法计算简单,保证了估计结果具有较高的分辨性能。仿真实验结果证明了方法的正确性和有效性。展开更多
The track association problem of radar and electronic support measure (ESM) has been considered in the literature for several years. This problem is crucial for radar-to-ESM track fusion and is complicated by the pr...The track association problem of radar and electronic support measure (ESM) has been considered in the literature for several years. This problem is crucial for radar-to-ESM track fusion and is complicated by the presence of individual systematic errors and measurement errors. In order to improve the track association of radar and ESM sensors, a pseudo-linear filtering algorithm is proposed to estimate the target states and improve the stability of the filter. It is found that, however, the correct probability of radar- to-ESM track association decreases as the radar measurement error decreases, when the pseudo-linear filter is used for ESM sensor filtering. In view of the strange phenomenon, this paper analyzes the reason for it by using the statistic theory and further performs Monte Carlo simulation to verify the analysis.展开更多
多辐射源跟踪任务受辐射源天线扫描方式、工作参数变化等因素影响,在目标种类、数量等方面存在一定的时变特征。对该特征的适应能力是评估电子支援措施(electronic support measures,ESM)辐射源跟踪能力的一项重要指标。据此,首先建立...多辐射源跟踪任务受辐射源天线扫描方式、工作参数变化等因素影响,在目标种类、数量等方面存在一定的时变特征。对该特征的适应能力是评估电子支援措施(electronic support measures,ESM)辐射源跟踪能力的一项重要指标。据此,首先建立了一种迭代式时频扫描方案优化模型。然后,以评估ESM对多辐射源跟踪任务时变特性的适应能力为目标,提出了一种基于可行域的性能评估方法。仿真实验结果表明,在不同类型目标数量动态变化过程中,所提方法给出的评估结果都能与扫描方案实际性能保持一致,具备准确的动态评估能力。展开更多
文摘针对电子支援测量(electronic support measurement,ESM)信号存在多径干扰,从而影响信号特征提取以及雷达辐射源识别的问题,提出了一种基于L-Wigner分布的多径信号估计方法。首先分析了多径ESM信号模型和时频域匹配滤波算法,接着研究了L-Wigner分布对于多分量高阶频率调制信号的分辨性能,根据自身项和交叉项的不同特点,提出采用L-Wigner分布对多径信号进行估计。该方法计算简单,保证了估计结果具有较高的分辨性能。仿真实验结果证明了方法的正确性和有效性。
基金supported by the National Natural Science Foundation of China (609721596103200161002006)
文摘The track association problem of radar and electronic support measure (ESM) has been considered in the literature for several years. This problem is crucial for radar-to-ESM track fusion and is complicated by the presence of individual systematic errors and measurement errors. In order to improve the track association of radar and ESM sensors, a pseudo-linear filtering algorithm is proposed to estimate the target states and improve the stability of the filter. It is found that, however, the correct probability of radar- to-ESM track association decreases as the radar measurement error decreases, when the pseudo-linear filter is used for ESM sensor filtering. In view of the strange phenomenon, this paper analyzes the reason for it by using the statistic theory and further performs Monte Carlo simulation to verify the analysis.
文摘多辐射源跟踪任务受辐射源天线扫描方式、工作参数变化等因素影响,在目标种类、数量等方面存在一定的时变特征。对该特征的适应能力是评估电子支援措施(electronic support measures,ESM)辐射源跟踪能力的一项重要指标。据此,首先建立了一种迭代式时频扫描方案优化模型。然后,以评估ESM对多辐射源跟踪任务时变特性的适应能力为目标,提出了一种基于可行域的性能评估方法。仿真实验结果表明,在不同类型目标数量动态变化过程中,所提方法给出的评估结果都能与扫描方案实际性能保持一致,具备准确的动态评估能力。