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In recent years, with the rapid development of applications such as mobile internet and the Internet of Things, the amount and speed of data transmission have been continuously increasing, which has also brought about a higher demand for signal quality. Due to the complex working environment in which the communication system operates, there are many uncertain factors and interference sources. Therefore, how to adapt and optimize the transmission link in a dynamic and ever-changing working environment, thereby improving transmission quality and data transmission rate, is a key issue that urgently needs to be solved in the field of communication. This paper proposes a chip based adaptive data acquisition technology scheme to address the issues of traditional data acquisition methods being unable to adapt to different communication links for data acquisition speed and system real-time performance. By analyzing the communication quality of different communication transmission links and ensuring the data acquisition rate, the sampling rate is adaptively adjusted according to different communication transmission links. The experimental results show that this scheme can adaptively adjust the acquisition rate according to the amount of data while meeting the real-time requirements of the system. This method can effectively prevent data distortion and has higher energy efficiency.
Tian et al. (Fri,) studied this question.