基于信号随机涨落特征的电路噪声优化方法

doi:10.12305/j.issn.1001-506X.2023.04.02

Abstract

Abstract:

Low-noise circuit design is one of the main research area of space remote sensing. The wain load thermal imager in the Sustainable Development Science Satellite 1 is subject to multi-channel signal crosstalk and bypass mutual inductance interference due to the separation design of information acquisition circuit and detector component. However, it is difficult for current circuit noise models based on traditional constant direct-current analysis method to accurately assess the level of circuit noise, which leads to the system's low noise performance. In response to this issue, this paper analyzes the fluctuation change law of the signal transmission of the analog circuit, and proposes a similar alternating current analysis method based on the Gaussian distribution of the detector response characteristics. Compared with the traditional direct-current analysis method, the noise prediction accuracy of the proposed method is improved by 51.42%, and the noise performance of the information acquisition circuit is improved by 21.44% after the optimized design. The system noise equivalent temperature difference can reach 34 mK. The proposed circuit noise model is of great significance to the optimization of infrared detection system performance.

Key words: low noise circuit design, mutual inductance interference, signal crosstalk, signal non-uniformity

CLC Number:

O441.3

Yujun TANG, Jingwen ZHANG, Ping CAI, Zhuoyue HU, Xinyue NI, Fansheng CHEN. Circuit noise optimization method based on signal random fluctuation characteristics[J]. Systems Engineering and Electronics, 2023, 45(4): 950-957.

Figures/Tables 12

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噪声/mV	直流测试结果	优化后结果	未优化结果
v₁	-	0.220	0.220
v₂	-	0.080	0.288
v₃	-	-	0.122
v_dc	0.193	0.193	0.193
v_cir	0.193	0.303	0.428

Circuit noise optimization method based on signal random fluctuation characteristics

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