Radio Receiver Layer Detection With Whitening and Reduced Complexity
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Solution Overview
Problem
Current radio receivers face complexity overhead in detecting multi-layered signals due to the joint detection of all layers, which is not ideal for most subframes, especially when fewer layers are transmitted, necessitating a receiver capable of reduced-layer detection with lower complexity.
Innovation Solution
The proposed radio receiver employs a method of dividing multi-layered signals into subsets and using noise and interference whitening filters to mitigate interference, allowing for joint detection of fewer layers, which can be instantiated multiple times to detect all layers, thereby reducing complexity and improving detection performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If joint detection of all M layers is performed, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent divides the M layers into two subsets: a first subset of L layers (where L < M) that are jointly detected, and a second subset of M-L layers that are treated as interference. This segmentation allows the detector to perform joint detection on a reduced number of layers, thereby reducing computational complexity while maintaining acceptable detection accuracy for the most important layers.
Solution Approach 2:
The patent extracts and separates the dominant L layers from the complete M-layer signal for focused joint detection. By taking out only the most significant layers for complex processing and treating the remaining layers as interference, the system reduces detector complexity while preserving detection accuracy for the critical layers.
2Measurement precision
If joint detection of all M layers is performed, then detection accuracy is improved, but computational overhead increases
Solution Approach 1:
The patent segments the detection process into two stages: joint detection of L dominant layers (reducing computational overhead) and subsequent processing of the remaining M-L layers as interference. This segmentation significantly reduces the computational overhead compared to joint detection of all M layers, while maintaining detection accuracy for the most important layers.
Solution Approach 2:
The patent applies partial action by performing joint detection only on the most critical L layers rather than all M layers. This partial detection approach reduces computational overhead and energy consumption while still achieving sufficient detection accuracy for the dominant layers that contribute most to the received signal.
3Device complexity
If reduced-layer detection is used, then device complexity is reduced, but noise and interference mitigation capability deteriorates
Solution Approach 1:
The patent introduces an intermediary interference cancellation stage that processes the M-L layers not included in the joint detection subset. This intermediary processing mitigates the noise and interference from these layers before the final detection, thereby compensating for the reduced complexity of detecting only L layers jointly.
Solution Approach 2:
The patent employs feedback mechanisms where the detected L layers are used to estimate and cancel interference in the remaining M-L layers, and vice versa. This feedback-based interference mitigation compensates for the reduced joint detection scope, maintaining overall detection performance while keeping device complexity low.
Data Source
AI summary
A radio receiver is disclosed, comprising: a receiving stage configured to receive a multi-layered signal comprising a plurality of layers; a division stage configured to divide the plurality of layers into a first subset and a second subset; a first whitening filter configured to filter the multi-layered signal based on a noise and interference covariance measure derived from the second subset to provide a first filtered multi-layered signal; and a first detection stage configured to detect at least one layer of the first subset based on the first filtered multi-layered signal.