Signal Reception Spatial Filtering for Interference Reduction
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Solution Overview
Problem
In communication systems, especially those using multi-input multi-output (MIMO) antennas, interference signals from heterogeneous services or sources can significantly degrade the performance and efficiency of communication services, particularly in crowded radio wave environments.
Innovation Solution
A signal receiving method and apparatus that determine whether interference signals satisfy line-of-sight (LOS) or non-line-of-sight (NLOS) conditions, estimate the incident directions of these signals, and perform spatial filtering using array antenna combinations to reduce interference effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If spatial filtering is performed using array antenna combinations to reduce interference signals, then communication service performance is improved, but device complexity increases due to the need to determine multiple antenna combinations and perform direction estimation
Solution Approach 1:
The antenna system is divided into multiple array antenna combinations formed by selecting K antenna elements from the total N elements. Each combination is processed independently through direction estimation and spatial filtering, allowing the complex interference reduction task to be segmented into manageable parallel operations that improve reliability while distributing computational complexity
Solution Approach 2:
The system performs preliminary direction estimation for interference signals using eigenvalue decomposition before executing spatial filtering. By pre-determining the incident directions and classifying signals as LOS or NLOS, the system prepares filtering parameters in advance, reducing real-time processing complexity while maintaining high communication service performance
2Reliability
If multiple array antenna combinations are used to estimate incident directions of interference signals, then interference signal reduction effectiveness is improved, but processing time increases
Solution Approach 1:
Instead of processing all possible antenna combinations exhaustively, the system selects K antenna elements (where K < N) to form array combinations, applying partial action that achieves sufficient interference reduction effectiveness without the time cost of processing every possible combination, thus balancing effectiveness with processing time
Solution Approach 2:
The system performs eigenvalue decomposition and direction estimation as preliminary actions before spatial filtering. By pre-computing the incident directions and classifying signals (LOS/NLOS) in advance, the system reduces the time required for subsequent filtering operations, maintaining effectiveness while minimizing processing time
Data Source
AI summary
An operation method of a first communication node in a communication system may include: determining whether each of one or more interference signals satisfies an LOS condition or an NLOS condition, the one or more interference signals being received through a first antenna composed of a plurality of antenna elements; estimating incident direction(s) of the one or more interference signals; performing spatial filtering based on the incident direction(s) of the one or more interference signals, with respect to each of a plurality of array antenna combinations each of which is determined at least in part based on some of the plurality of antenna elements; and receiving wireless signals based on a result of the spatial filtering.


