一种慢时间维的密集假目标干扰主瓣匿影算法

doi:10.12382/bgxb.2022.0866

摘要/Abstract

摘要：

受干扰机对雷达脉冲重复频率、波束扫描周期测量精度影响,密集假目标干扰在回波中的慢时间分布与目标不同。针对该差异,提出一种慢时间维的密集假目标干扰主瓣匿影(Main-Lobe Blanking, MLB)算法。该算法与副瓣匿影(Side-Lobe Blanking, SLB)具有一定相似性,区别在于SLB是利用辅助通道回波,对主通道回波沿快时间进行选通,而所提MLB算法是利用主通道内的多个脉冲重复周期回波,对各距离单元回波沿慢时间进行选通。仿真与实测数据表明,所提方法可有效抑制主瓣或副瓣进入的密集假目标干扰。

关键词: 雷达, 密集假目标干扰, 慢时间, 主瓣匿影, 实测数据

Abstract:

For the reason of the prediction accuracy of radar pulse repetition frequency and beam scanning period, the slow-time distribution of dense false-target jamming (DFJ) in echo is not consistent with that of the target echo. Based on the difference, a DFJ main-lobe blanking (MLB) algorithm in slow-time dimension is proposed. The algorithm has some similarities with the side-lobe blanking (SLB) algorithm, and the difference is gating dimension for the echo. The SLB algorithm is to gate the main channel echo in fast-time by using the auxiliary channel echo. And the MLB algorithm is to gate each range cell echo in slow-time by using the main channel echo within multiple pulse repetition intervals. The simulated results and measured data show that the proposed algorithm can be used to effectively suppress the DFJ from the radar main lobe or side lobe.

Key words: radar, dense false-target jamming, slow-time, main-lobe blanking, measured data

中图分类号:

TN957

张亮, 杜庆磊, 张昭建, 王永良. 一种慢时间维的密集假目标干扰主瓣匿影算法[J]. 兵工学报, 2024, 45(2): 606-617.

ZHANG Liang, DU Qinglei, ZHANG Zhaojian, WANG Yongliang. A Dense False-target Jamming Main-lobe Blanking Algorithm in Slow-time Dimension[J]. Acta Armamentarii, 2024, 45(2): 606-617.

图/表 18

图1 目标回波三维模型

Fig.1 3D target echoes model

图2 雷达实测回波

Fig.2 The measured echo data of radar

图3 SLB与MLB统一框架

Fig.3 The unified framework of SLB and MLB

图4 MLB示意图

Fig.4 MLB diagram

图5 MLB流程

Fig.5 MLB process

图6 脉冲压缩后回波

Fig.6 The echoes after PC processing

图7 MLB后回波

Fig.7 The echoes after MLB processing

图8 相参积累后回波

Fig.8 The echoes after coherent integration

图9 脉冲压缩后回波

Fig.9 The echoes after PC processing

图10 MLB后回波

Fig.10 The echoes after MLB processing

图11 相参积累后回波

Fig.11 The echoes after coherent integration

图12 不同信噪比条件下的算法效能曲线

Fig.12 Influence of SNR on algorithm performance

图13 不同JSR条件下的算法效能曲线

Fig.13 Influence of JSR on algorithm performance

图14 不同测量误差条件下的算法效能曲线

Fig.14 Influence of PRF error on algorithm performance

图15 不同脉冲数条件下的算法效能曲线

Fig.15 Influence of pulse number on algorithm performance

图16 第1帧受干扰回波

Fig.16 The 1st frame jammed echo

图17 第1帧回波匿影效果

Fig.17 Blanking effect of the 1st frame echo

图18 基于实测回波的算法效能验证

Fig.18 Algorithm performance verification based on measured echo

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