1-bit采样下雷达脉压性能分析

doi:10.12305/j.issn.1001-506X.2022.10.10

Abstract

Abstract:

1-bit sampling has attracted extensive attention because of its advantages of low cost and low power consumption. This paper mainly discusses the pulse compression performance of radar under 1-bit sampling. Firstly, the loss of signal to noise ratio caused by 1-bit sampling is deduced, the applicable conditions of 1-bit sampling are analyzed, and it is found that 1-bit sampling is suitable for the application scenario with low signal to noise ratio of single echo. Then, through theoretical analysis, compared with high-precision pulse compression coefficient, 1-bit pulse compression coefficient will bring additional loss of pulse compression signal to noise ratio, but the implementation method is simpler. In addition, the causes of periodic false targets when the transmitted signal is linear frequency modulation (LFM) signal under high signal to noise ratio are analyzed, and it is pointed out that phase coding can effectively avoid false targets. Simulation experiments verify the correctness of the above theoretical derivation. Finally, combined with the measured data of a high frequency (HF) ground wave radar, the feasibility of 1-bit sampling is verified.

Key words: 1-bit sampling, pulse compression, high frequency (HF) ground wave radar

CLC Number:

TP957

Bingfan LIU, Boxiao CHEN, Minglei YANG. Analysis of radar pulse compression performance under 1-bit sampling[J]. Systems Engineering and Electronics, 2022, 44(10): 3072-3082.

Figures/Tables 20

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References 29

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仿真	脉压系数	回波信号		理论峰值
仿真	脉压系数	SNR≪0 dB	SNR≫0 dB	SNR≪0 dB	SNR≫0 dB
H₁	a	Aa	Aa	$ \frac{\left\|A \boldsymbol{a}^{\mathrm{H}} \boldsymbol{a}\right\|}{\\|\boldsymbol{a}\\|^2}=A$	$ \frac{\left\|A \boldsymbol{a}^{\mathrm{H}} \boldsymbol{a}\right\|}{\\|\boldsymbol{a}\\|^2}={A}$
H₂	a	a≈γAa	$ \bar{\boldsymbol{a}} \approx \frac{4}{\pi} \boldsymbol{a}$	$ \frac{\left\|\gamma A \boldsymbol{a}^{\mathrm{H}} \boldsymbol{a}\right\|}{\\|\boldsymbol{a}\\|^2}=\gamma {A}$	$ \frac{4}{{\rm{ \mathsf{ π} }}} \frac{\\|\boldsymbol{a}\\|^2}{\\|\boldsymbol{a}\\|^2}=\frac{4}{{\rm{ \mathsf{ π} }}}$
H₃	γa	a≈γAa	$ \bar{\boldsymbol{a}} \approx \frac{4}{\pi} \boldsymbol{a}$	$ \frac{{\left\| {\gamma A{\boldsymbol{a}^{\rm{H}}} \cdot \gamma \boldsymbol{a}} \right\|}}{{{{\left\\| {\gamma \boldsymbol{a}} \right\\|}^2}}} = A$	$ \frac{4}{{\rm{ \mathsf{ π} }}} \frac{\left\|\boldsymbol{a}^{\mathrm{H}} \cdot \gamma \boldsymbol{a}\right\|}{\\|\gamma \boldsymbol{a}\\|^2}=\frac{4}{{\rm{ \mathsf{ π} }} \gamma}$
H₄	a	a≈γAa	$ \bar{\boldsymbol{a}} \approx \frac{4}{\pi} \boldsymbol{a}$	$ \frac{\left\|\gamma A \boldsymbol{a}^{\mathrm{H}} \cdot \overline{\boldsymbol{a}}\right\|}{\\|\bar{\boldsymbol{a}}\\|^2} \approx \frac{\left\|\gamma A \boldsymbol{a}^{\mathrm{H}} \cdot \frac{4}{{\rm{ \mathsf{ π} }}} \boldsymbol{a}\right\|}{\\|\overline{\boldsymbol{a}}\\|^2}=\frac{2}{{\rm{ \mathsf{ π} }}} \gamma A$	$ \frac{\left\|\overline{\boldsymbol{a}}^{\mathrm{H}} \cdot \overline{\boldsymbol{a}}\right\|}{\\|\overline{\boldsymbol{a}}\\|^2}=1$

SNR	仿真
SNR	H₁	H₂	H₃	H₄
-10	40.0	-9.0	40.0	-12.9
0	40.0	-1.0	38.0	-4.7
10	40.0	1.8	30.8	-1.2
20	40.0	2.04	21.0	-0.4

SNR	仿真
SNR	H₁	H₂	H₃	H₄
-10	40.0	-9.0	40.0	-9.0
0	39.9	-1.6	37.4	-1.6
10	40.0	0	29.0	0
20	40.0	0	19.0	0

仿真情况	单目标		双目标
仿真情况	LFM (图 5)	MLS (图 6)	LFM (图 7)	MLS (图 8)
H₁	29.82	29.46	30.30	29.10
H₂	27.96	27.58	28.30	27.06
H₃	27.96	27.58	28.30	27.06
H₄	26.87	27.58	27.12	27.06
H₂－H₁	-1.86	-2.21	-2.10	-2.04
H₄－H₁	-2.95	—	-3.18	—

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Analysis of radar pulse compression performance under 1-bit sampling

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