Multi-Antenna Single-Carrier Reception for Interference-Aware Equalization
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Solution Overview
Problem
Conventional receiving apparatuses in mobile communication systems struggle to simultaneously perform multipath equalization and other cell interference suppression in a frequency domain, leading to degraded reception performance due to unoptimized interference handling in multi-cell environments.
Innovation Solution
A receiving apparatus that utilizes a plurality of receiving antennas to separate and process single carrier signals, estimating channel gains and interference correlation matrices to calculate equalization weights, allowing for simultaneous multipath equalization and interference suppression in the frequency domain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frequency domain equalization is used to reduce processing amount, then operational processing amount is reduced, but other cell interference suppression is insufficient
Solution Approach 1:
The patent segments the correlation matrix into two distinct components: a first correlation matrix derived from pilot signals for channel estimation, and a second correlation matrix derived from data signals for interference suppression. This segmentation allows each matrix to be optimized for its specific function, enabling simultaneous multipath equalization and other cell interference suppression in the frequency domain without increasing overall processing complexity.
Solution Approach 2:
The patent introduces an interference correlation matrix as an intermediary component that captures interference characteristics between different cells. This intermediary matrix is used to construct equalization weights that specifically target and suppress other cell interference while preserving desired signal components, thereby resolving the contradiction between processing efficiency and interference suppression capability.
2Reliability
If conventional equalization is used, then multipath equalization is achieved, but other cell interference degrades reception performance
Solution Approach 1:
The patent applies local quality by deriving different correlation matrices from different signal components: the first correlation matrix from pilot signals (which have known characteristics) for channel estimation, and the second correlation matrix from data signals for interference suppression. This allows the equalization process to treat channel effects and interference effects differently, optimizing both aspects simultaneously.
Solution Approach 2:
The patent converts the harmful interference signals into useful information by using them to construct the second correlation matrix. Instead of treating interference purely as noise to be suppressed, the system extracts interference correlation characteristics from the interfering signals themselves and uses these to design equalization weights that actively suppress interference, turning the harmful interference into a resource for interference cancellation.
3Reliability
If multiple receiving antennas are used to improve reception quality, then antenna diversity combining is achieved, but device complexity increases
Solution Approach 1:
The patent merges the functions of multiple receiving antennas by combining their signals in the frequency domain through a unified equalization process. Instead of processing each antenna signal separately through multiple independent equalization chains, the system combines signals from multiple antennas and applies a single equalization operation using the composite correlation matrices, thereby achieving antenna diversity combining while reducing overall device complexity.
Data Source
AI summary
A receiving apparatus is provided in which a single carrier signal is received by a plurality of receiving antennas, and multipath equalization and other cell interference suppression are carried out in a frequency domain at a same time. A plurality of antennas 1-1 to 1-N receives the single carrier signal. The DFT sections 3-1 to 3-N converts the reception signals into frequency domain signals. A channel estimating section 5 estimates a channel gain of a desired user signal by using pilot reception signals. An interference correlation matrix estimating section 6 estimates an interference correlation matrix from the pilot reception signals and a channel estimation value. A weight, calculating section. A weight calculating section 7 receives the channel estimates and the interference correlation matrix and calculates equalization weights. An equalising section 8 performs multipath equalization and other cell interference suppression to the desired user signal in a frequency domain. An IDFT section 9 converts an equalization signal into a signal in a time domain.


