Guosen Yue

Title: Guosen Yue: Innovator in Channel Estimation Technology

Introduction

Guosen Yue is a notable inventor based in Edison, NJ (US). He has made significant contributions to the field of telecommunications, particularly in the area of channel estimation technology. His innovative work has led to the development of a patent that addresses critical challenges in signal processing.

Latest Patents

Guosen Yue holds a patent titled "Joint timing offset, frequency offset, and channel estimation." This invention involves a receiver that receives signals from a transmitter in subframes on subcarriers with orthogonal frequencies. A subset of these subframes includes reference signals. The receiver generates a first channel estimate for a target subframe based on reference signals in that subframe. Additionally, it generates one or more second channel estimates for other subframes based on reference signals in those subframes. The receiver combines the first channel estimate and the second channel estimates based on a frequency offset between the receiver and the transmitter to form a channel estimate of the target subframe. In some instances, the receiver performs joint estimates of a timing offset, a frequency offset, and a channel for the target subframe based on the reference signals, selected candidate timing offsets, selected candidate frequency offsets, and selected candidate channel estimates.

Career Highlights

Guosen Yue is currently employed at Google Inc., where he continues to innovate and contribute to advancements in technology. His work at Google has allowed him to collaborate with some of the brightest minds in the industry, further enhancing his expertise and impact in the field.

Collaborations

Due to space constraints, the details of Guosen Yue's collaborations will not be included.

Conclusion

Guosen Yue is a prominent inventor whose work in channel estimation technology has made a significant impact in telecommunications. His patent demonstrates his innovative approach to solving complex problems in signal processing.