With the development and application of Brain-Computer Interface (BCI), the demand for the portability, transmission performance, sampling rate, and number of channels of electroencephalogram (EEG) acquisition devices is increasing. The high-performance acquisition devices used in current research are generally large in size which limit its application scenarios, while portable high-performance acquisition devices have a limited wireless transmission bandwidth. To tackle these issues, a high-performance multichannel wireless EEG acquisition system was designed, the acquisition device is powered independently by a battery, controls the bioelectric acquisition chip through FPGA (filed-programmable gate array) to achieve high-speed and stable processing of EEG data, and transmits it in real-time via Wi-Fi to the host computer for display and recording. Standard signal source tests and Electrocorticography (ECoG) acquisition experiments demonstrate that the system performed well with 64 channels and a maximum sampling rate of 30 kHz within a distance of 10 meters. This design provides a new solution for neuroscience research scenarios.