US20260213981
2026-07-23
Electricity
H04L25/0254
The patent application describes an electronic device designed for processing wireless signals, featuring at least one antenna and a channel estimation and equalization module. This module is capable of identifying both the received signal and a reference signal associated with it. Using deep learning, the module extracts features from these signals, estimates the channel of the received signal, and restores the signal to its original form. This approach allows for effective adaptation to various wireless environments by leveraging advanced signal processing techniques.
The invention pertains to the field of wireless communication systems, focusing on methods and devices for processing wireless signals in electronic devices. In such systems, signals are transmitted and received via wireless channels that can experience irregular changes. To ensure accurate communication, reception devices perform channel estimation to assess signal distortion. This estimation is crucial for decoding the received signal into the original data sent by the transmission device.
The device employs a channel estimation and equalization module that utilizes deep learning to enhance signal processing. By analyzing the received and reference signals, the module extracts relevant features to estimate the channel accurately. This process enables the restoration of the received signal, ensuring that the original transmitted data is accurately decoded. Such capabilities make the device highly adaptable to varying wireless conditions, improving communication reliability.
The electronic device is equipped with multiple components, including a processor, memory, input and output modules, and a communication module, among others. The processor, which may include a main processor and an auxiliary processor, executes software to control other components and perform data processing. The auxiliary processor can handle specific functions independently or in conjunction with the main processor, optimizing power consumption and performance for tasks like artificial intelligence model processing.
The operational method involves identifying the received signal and its reference counterpart, then applying deep learning techniques to extract features and estimate the channel. This method ensures that the received signal is accurately restored to match the transmitted data. The device's capability to perform these operations efficiently allows it to adapt to different wireless environments, enhancing the overall performance of wireless communication systems.