相控阵主动雷达导引头波形策略

发布时间：2018-03-28 11:12

本文选题：相控阵　切入点：雷达导引头　出处：《航空学报》2017年04期

【摘要】：针对高脉冲重复频率脉冲多普勒(HPRF-PD)体制的相控阵主动雷达导引头中存在的距离遮挡问题,设计了一种新的波形选择策略。首先,利用提出的脉冲重复频率(PRF)波形选择策略,离线计算得到距离对应PRF的波形查找表。然后,通过叉积自动频率控制环路滤波(CPAFCLF)算法预估下个相参处理间隔(CPI)导引头与目标间的径向相对速度,并联合提出的基于Sage-Husa带有速度预测的自适应"当前"统计模型(SH-ACSMVP)算法得到的距离跟踪值,获得下个CPI的距离预测值。在跟踪机动目标场景中,相比于"当前"统计(CS)模型跟踪算法及基于"当前"统计模型的自适应无迹卡尔曼滤波(CAUKF)算法,本文算法得到的距离预测误差更小,误差收敛速度更快。根据此距离预测值从波形查找表中选择波形发射,作为下个CPI的发射波形,实现后续跟踪阶段的抗距离遮挡,提高目标跟踪性能。仿真结果表明了本文所设计波形选择策略的正确性及有效性。
[Abstract]:In order to solve the range occlusion problem in phased array active radar seeker in high pulse repetition rate pulse Doppler Doppler (HPRF-PD) system, a new waveform selection strategy is designed. The waveform look-up table of distance corresponding to PRF is obtained by off-line calculation. Then, the radial relative velocity between the next coherent processing interval and the target is predicted by the cross product automatic frequency control loop filter algorithm. The range tracking value obtained by the self-adaptive "current" statistical model with velocity prediction based on Sage-Husa and the range prediction value of the next CPI is obtained. In tracking maneuvering target scene, the range prediction value of the next CPI is obtained. Compared with the "current" statistical model tracking algorithm and the adaptive unscented Kalman filter (CAUKF) algorithm based on the "current" statistical model, the distance prediction error of this algorithm is smaller than that of the "current" statistical model. The error converges faster. According to the prediction value of the distance, the waveform is selected from the waveform lookup table as the transmitting waveform of the next CPI, and the anti-range occlusion in the follow-up tracking stage is realized. The simulation results show that the proposed waveform selection strategy is correct and effective.
【作者单位】：南京理工大学电子工程与光电技术学院;
【基金】：国家自然科学基金(11273017,61401207,61471196) 江苏省自然科学基金(BK20140793) 江苏省2015年度普通高校研究生科研创新计划(KYLX15_0375)~~
【分类号】：TJ765.331

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