Backgrounds The oldest-old population is increasing sharply in China, and intergenerational support has been their primary source of caregiving. Although intergenerational support has been found to be associated with wellbeing of older people in previous study, most analysis were from the perspective of children’s characteristics and exchange patterns. This study aims to investigate the impact of different types of intergenerational support on subjective wellbeing among Chinese oldest-old and the variation across groups of different economic status, based on their five-tier of needs (physiological needs, safety needs, love/belonging needs, esteem needs, and self-actualization needs). Methods We included older adults aged ≥ 80 years from the 2018 Chinese longitudinal Healthy Longevity Survey (CLHLS). We assessed older people’s subjective wellbeing by their life satisfaction and psychological health. We evaluated four types of intergenerational support: parents provide financial support, receive financial, instrumental and emotional support. We applied binary logistic regression analysis to analyze the association between different intergenerational support and older people’s subjective wellbeing and the moderating effect of self-rated economic status on this relationship. Results A total of 8.794 participants were included, with a mean age of 91,46 years (standard deviation:7.60). Older adults who provide financial support (OR: 1.37, 95% CI: 1.01, 1.85) and receive emotional support (OR: 1.99, 95% CI: 1.40, 2.83) report better subjective wellbeing. However, receiving instrumental support depressed psychological health (OR: 0.67, 95% CI: 0.56, 0.79) while improved life satisfaction (OR: 1.42, 95% CI: 1.04, 1.55). Receiving emotional support promoted parents’ psychological health among all combinations of support, and receiving all the three types together raised their subjective wellbeing most. Conclusions Our study recognizes that higher level of subjective wellbeing for oldest-old is related to providing financial support, receiving emotional and certain instrumental support. In addition, higher economic status can moderate these associations.

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D-dot sensor is a type of differential sensor that is widely used in the measurement of ultra-wide band (UWB) pulse electric field. The output of the sensor needs to be integrated to rebuild the original electric field. According to the methods of integration, the measurement system based on D-dot sensor can be classified into software integral D-dot measurement (SIDM) system and hardware integral D-dot measurement (HIDM) system. For an SIDM system, the accuracy of calibration, which is influenced by the integral error of the recovery signal, unfortunately, remains an impediment to its practical application. In this paper, a calibration uncertainty evaluation method based on a standard field generating equipment of time-domain electromagnetic pulse is investigated. The level of the integral error is determined by constructing a noise model using the calibration method. In the process of modeling, the characteristics of the background noise are analyzed first. Additionally, a random signal model taking background noise into account is built, and the integral value of the background noise is derived. Moreover, the integral error model is verified by a statistical method using tested data. After modeling, the uncertainty of the equivalent area for a real D-dot sensor in a software integral system and the methods for reducing the uncertainty are illustrated according to the integral error model.

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