基于变分正则化参数估计的伪码调相引信重构式干扰方法

doi:10.12382/bgxb.2022.0572

摘要/Abstract

摘要：

基于截获信号的参数估计及重构的重构式干扰能够在恶劣电磁环境下确保干扰信号同引信信号的相干性,从而显著提高干扰效果,是新一代引信干扰机的重要技术特征,重构式干扰的关键在于低信噪比条件下截获信号调制参数的精确估计,但伪码调相信号的相位突变特性导致其参数难以通过传统时频分析获得。针对这一问题,提出基于变分正则化参数估计的伪码调相引信重构式干扰方法。通过插值傅里叶精确估计截获信号的中心频率,并将截获信号下变频为零中频信号;利用伪码序列的稀疏性,设计变分正则化迭代算法从零中频信号估计截获信号的伪码序列;根据参数估计结果重构引信信号,通过仿真及试验验证所提方法的性能。研究结果表明:所提方法在-10dB截获信噪比条件下具有优良的参数估计性能,低截获信噪比条件下基于参数估计的重构式干扰效果优于传统的预置波形干扰及转发式干扰。

关键词: 电子对抗, 重构式干扰, 伪码调相, 参数估计, 干扰效果

Abstract:

By estimating and reconstructing the parameters of the captured signal, the DRFM mitigates the effect of noise on jamming performance. This approach, termed reconstruction jamming, relies on accurate parameter estimation of the captured signal. However, traditional time-frequency analysis methods face challenges when dealing with Binary Phase-coded Modulation (BPCM) signals due to their abrupt changes and jump discontinuities. To address this, a novel parameter estimation method for BPCM radar fuses based on non-convex total variation regularization is proposed. First, the center frequency of the captured signal is estimated by interpolation on Fourier coefficients. Then, the captured signal is transformed to zero intermediate frequency, and pseudo codes are estimated using total variation regularization. The jamming signal is a reconstruction of the captured signal. Experimental results verify the effectiveness of the proposed method, showing that its jamming capability against BPCM fuses is significantly lower than the traditional sweep jamming and DRFM-based repeat jamming under SNR=-10dB.

Key words: ECCM, reconstruction jamming, binary phase-coded modulation, parameters estimation, jamming performance

中图分类号:

TJ43⁺4.1

彭博, 陈齐乐, 李锐. 基于变分正则化参数估计的伪码调相引信重构式干扰方法[J]. 兵工学报, 2023, 44(10): 3127-3136.

PENG Bo, CHEN Qile, LI Rui. Parameter Estimation of Binary Phase-coded Modulation Radar Waveform Using Non-convex Total Variation Regularization[J]. Acta Armamentarii, 2023, 44(10): 3127-3136.

图/表 12

图1 基于变分正则化参数估计信号重构干扰方法原理框图

Fig.1 Diagram of the proposed method

图2 基于插值傅里叶的中心频率估计算法

Fig.2 Center frequency estimation algorithm by interpolation on Fourier coefficients

图3 基于全变分正则化的伪码序列估计方法流程图

Fig.3 Estimation method ofpseudo codes by total variation regularization

表1 仿真参数

Table 1 Simulation parameters

f₀/MHz	T_c/ns	K	f_s/MHz	N
50	20	31	1000	1550

图4 不同信噪比下频率估计仿真结果

Fig.4 Estimation results with different SNR values

图5 频率估计的3倍标准差

Fig.5 Triple standard deviation of the estimation results

图6 算法中间变量和最终估计结果

Fig.6 Intermediate variables and final results

图7 不同信噪比下伪码序列估计结果

Fig.7 Estimation of pseudo codes with different SNR values

图8 不同信噪比下相关系数仿真结果

Fig.8 Correlation coefficients with different SNR values

图9 不同干扰作用下伪码调相引信输出仿真结果

Fig.9 The outputs of the BPCM fuze with different jamming effects

表2 干扰功率仿真结果

Table 2 Simulation of the jamming powerdBm

信噪比/ dB	重构式干扰	转发式干扰	扫频式干扰	瞄准式干扰
10	-1.7	-1.6	11.2	14.2
5	-1.7	-0.4	11.3	14.3
0	-1.6	1.5	11.4	14.1
-5	-1.2	4.4	11.6	14.5
-10	0.3	8.9	12.1	14.3

图10 干扰作用下引信的响应

Fig.10 Outputs with jamming

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