17988244. METHOD AND APPARATUS FOR MATRIX ENHANCEMENT IN MIMO RECEIVER WITH DEEP LEARNING simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 METHOD AND APPARATUS FOR MATRIX ENHANCEMENT IN MIMO RECEIVER WITH DEEP LEARNING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR MATRIX ENHANCEMENT IN MIMO RECEIVER WITH DEEP LEARNING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD AND APPARATUS FOR MATRIX ENHANCEMENT IN MIMO RECEIVER WITH DEEP LEARNING
Organization Name
Inventor(s)
Hyukjoon Kwon of San Diego CA (US)
Shailesh Chaudhari of San Diego CA (US)
Dongwoon Bai of San Diego CA (US)
METHOD AND APPARATUS FOR MATRIX ENHANCEMENT IN MIMO RECEIVER WITH DEEP LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17988244 titled 'METHOD AND APPARATUS FOR MATRIX ENHANCEMENT IN MIMO RECEIVER WITH DEEP LEARNING
Simplified Explanation
The abstract describes a method and apparatus for generating a vector from a covariance matrix of a received signal, inputting it into a neural network to obtain an enhanced vector, converting it into an enhanced matrix, and performing interference whitening on the received signal using a whitening filter based on the enhanced matrix.
- Vector generated from covariance matrix of received signal
- Input vector to neural network to obtain enhanced vector
- Enhanced vector converted into enhanced matrix
- Interference whitening performed on received signal using whitening filter based on enhanced matrix
Potential Applications
This technology could be applied in signal processing, communication systems, and wireless networks for enhancing signal quality and reducing interference.
Problems Solved
This technology solves the problem of interference in received signals, improving the overall quality and reliability of communication systems.
Benefits
The benefits of this technology include improved signal quality, enhanced communication performance, and reduced interference in wireless networks.
Potential Commercial Applications
Potential commercial applications of this technology include telecommunications equipment, wireless devices, and signal processing systems.
Possible Prior Art
One possible prior art for this technology could be methods for interference cancellation in communication systems using different signal processing techniques.
Unanswered Questions
How does the neural network enhance the vector?
The abstract mentions using a neural network to obtain an enhanced vector, but it does not provide details on the specific mechanism or algorithms used for this enhancement.
What is the specific whitening filter used for interference whitening?
The abstract mentions performing interference whitening using a whitening filter based on the enhanced matrix, but it does not specify the exact type or characteristics of this filter.
Original Abstract Submitted
A method and an apparatus are provided in which a vector is generated from a covariance matrix of a received signal. The vector is input to a neural network to obtain an enhanced vector. The enhanced vector is converted into an enhanced matrix. Interference whitening is performed on the received signal using a whitening filter based on the enhanced matrix.
