ID 原文 译文
19575 首先给出无源雷达中变加速运动目标的回波模型，分析了目标速度、加速度和第二加速度对相参积累的影响。 Firstly, the signal model for the maneuvering targets is given, and the influence of the target velocity, acceleration and jerk on the coherent integration is analyzed.
19576 针对目标第二加速度引起的多普勒频率弯曲，采用ACCF降低了距离和多普勒频率徙动的阶数，而后利用PCFCRD估计出目标加速度和第二加速度参数，在补偿了目标加速度和第二加速度引起的2次和3次徙动后，利用KT校正目标速度引起的线性徙动，并实现目标回波的积累。 For the Doppler curvature induced by the jerk motion, the ACCFis firstly applied to reducing the order of RM and DFM. Then the PCFCRD operation is employed to estimatethe acceleration and jerk parameters. After compensating the RM and DFM caused by the acceleration and jerk, the RM arising from the velocity is corrected via the KT operation and the target echo energy is coherently integrated.
19577 仿真结果表明，该算法可有效补偿无源雷达中目标运动导致的RM和DFM，对变加速机动目标的积累效果显著优于现有算法。 Simulation results demonstrate that the proposed method can effectively compensate theRM and DFM caused by the target motion parameters in passive radar, and for a maneuvering target with jerkmotion, the proposed method achieves better integration performance over the existing methods.
19578 针对对偶序列跳频(DSHF)在极低信噪比(SNR)下无法通信的问题，该文充分利用对偶序列跳频信号时、频域物理特征，提出一种随机共振(SR)检测方法，极大扩展该信号的应用场景。 Considering the problem that the Dual-Sequence Frequency Hopping (DSFH) can not communicate at extremely low Signal-to-Noise Ratio (SNR), a Stochastic Resonance (SR) detection method is proposed. The SR takes full advantage of the physical characteristics of DSFH signal to improve the detection performance.
19579 首先，通过分析对偶序列跳频的发射、接收信号及超外差解调的中频(IF)信号，构建随机共振系统，采用尺度变换调整中频信号； Firstly, the SR is constructed by analyzing signals of transmission, reception and the Intermediate Frequency(IF). The scale transaction is used to adjust the IF signal to fit the SR.
19580 然后，引入判决时刻，将无定态解的非自治福克普朗克方程(FPE)转化为可解的自治方程，从而推导出含时间参量的概率密度周期定态解； Secondly, the non-autonomous Fokker-Plank Equation (FPE) is transformed into an autonomous equation by introducing the decision time.Therefore, the analytical solution of the probability density function with the parameter of decision time is obtained.
19581 其次，以最大后验概率为准则，得到检测概率、虚警概率和接收机工作特性(ROC)曲线； Finally, the detection probability, false alarm probability and Receiver Operating Characteristics(ROC) curve are obtained, when the criterion is the Maximum A Posterior probability (MAP).
19582 最后，得出以下结论：(1) 应用匹配随机共振检测对偶序列跳频信号的信噪比最低可达–18 dB； Simulation analysis results show three conclusions: (1) The SNR of DSFH signal can be as low as –18 dB, which uses thematched SR detection.
19583 (2)对偶序列跳频与匹配随机共振结合，适用于信噪比在–18～–14 dB的信号检测； (2) Method for combining DSFH with the matched SR is suitable to detect the signalswith SNR of –18 ～–14 dB.
19584 (3)应用匹配随机共振检测对偶序列跳频信号在信噪比为–14 dB时，检测性能提升了25.47%。 (3) In the case of –14 dB SNR, the DFSH signal detection performance increases by25.47%, when using SR.