Parameter Estimation of Binary Phase-coded Modulation Radar Waveform Using Non-convex Total Variation Regularization

doi:10.12382/bgxb.2022.0572

Abstract

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

CLC Number:

TJ43⁺4.1

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.

Figures/Tables 12

Fig.1 Diagram of the proposed method

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

Fig.3 Estimation method ofpseudo codes by total variation regularization

Table 1 Simulation parameters

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

Fig.4 Estimation results with different SNR values

Fig.5 Triple standard deviation of the estimation results

Fig.6 Intermediate variables and final results

Fig.7 Estimation of pseudo codes with different SNR values

Fig.8 Correlation coefficients with different SNR values

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

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

Fig.10 Outputs with jamming

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