航空学报 > 2017, Vol. 38 Issue (4): 320284-320284   doi: 10.7527/S1000-6893.2016.0215

相控阵主动雷达导引头波形策略

蒋兵兵, 盛卫星, 张仁李, 韩玉兵, 马晓峰   

  1. 南京理工大学 电子工程与光电技术学院, 南京 210094
  • 收稿日期:2016-04-05 修回日期:2016-07-18 出版日期:2017-04-15 发布日期:2016-07-19
  • 通讯作者: 盛卫星 E-mail:shengwx@njust.edu.cn
  • 基金资助:

    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)

Waveform strategy for phased array active radar seeker

JIANG Bingbing, SHENG Weixing, ZHANG Renli, HAN Yubing, MA Xiaofeng   

  1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • Received:2016-04-05 Revised:2016-07-18 Online:2017-04-15 Published:2016-07-19
  • Supported by:

    National Natural Science Foundation of China (11273017, 61401207, 61471196); Natural Science Foundation of Jiangsu Province (BK20140793); 2015 College Graduate Scientific Research and Innovation Plan of Jiangsu Province (KYLX15_0375)

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。

关键词: 相控阵, 雷达导引头, 波形策略, 脉冲多普勒, 距离遮挡, Sage-Husa算法

Abstract:

This paper considers the range eclipsing problem in a high pulse repetition frequency pulse Doppler (HPRF-PD) phased array active radar seeker. A novel waveform selection strategy is designed. In this strategy, a waveform lookup table concerning range and pulse repetition frequency (PRF) is firstly obtained off-line according to the PRF selection strategy proposed in this study. A method called cross product automatic frequency control with loop filter (CPAFCLF) is then utilized to predict the radial velocity between the seeker and the target of next coherent processing interval (CPI). Meanwhile, a range tracking algorithm called Sage-Husa-based adaptive current statistical model with velocity prediction (SH-ACSMVP) is proposed to obtain a predicted range value for next CPI. Compared with current statistical (CS) model and current statistical model based adaptive unscented Kalman filter (CAUKF), the proposed method exhibits a better range predicting performance in tracking a maneuvering target, with smaller predicted error and faster error convergence. With this predicted value, the transmitting waveform is selected from the waveform lookup table, and a range eclipsing problem will not be generated in the tracking stage. Simulations highlight the correctness and effectiveness of our proposed waveform strategy.

Key words: phased array, radar seeker, waveform strategy, pulse Doppler, range eclipse, Sage-Husa algorithm

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