Space-Time Block Code Detection With Selective Decision Feedback
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Solution Overview
Problem
Current space-time block code detection methods require high computational complexity, making them impractical for use in mobile stations or other low-capability communication stations, despite offering optimal error-rate performance.
Innovation Solution
A selective decision-feedback detection technique is employed, utilizing multiple decision-feedback detectors with different channel characterizations and permutations of the channel matrix, along with soft and hard decision generators, to reduce computational complexity while maintaining near-optimal error performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maximum likelihood detection is used for space-time block code decoding, then optimal error-rate performance is achieved, but computational complexity becomes impractically high
Solution Approach 1:
The detection process is divided into multiple decision-feedback detectors that process different permutations of the channel matrix. Each detector handles a subset of the computational task, and their results are combined to achieve near-optimal performance without requiring the full computational burden of maximum likelihood detection.
Solution Approach 2:
Instead of performing complete maximum likelihood detection across all possible symbol combinations, the invention uses a selective approach where multiple detectors perform partial detection on permuted channel matrices. This partial action across multiple detectors achieves sufficient error-rate performance with reduced individual computational complexity.
2Device complexity
If spherical detection is used to reduce computational complexity, then optimal detection is achieved with reduced complexity, but significant computing complexity levels remain
Solution Approach 1:
The spherical detection computation is segmented across multiple decision-feedback detectors, each handling a permuted version of the channel matrix. This distribution of computational load reduces the complexity burden on any single detector while maintaining overall detection performance through selective combination of results.
3Reliability
If conventional detection techniques are used, then error performance is optimal, but processing requirements are too high for mobile stations
Solution Approach 1:
The detection task is segmented into multiple parallel decision-feedback detectors that can be implemented with simpler, lower-complexity processing suitable for mobile stations. Each detector processes a permuted channel matrix independently, and the final detection result is obtained by selecting the best outcome among detectors, achieving near-optimal error performance with mobile-station-compatible processing requirements.
Data Source
AI summary
A selective decision-feedback detector for the space-time block code which provides both diversity and spatial multiplexing. To detect a received code block of transmitted symbols, the channel matrix is properly preprocessed with the real and imaginary parts decoupled, and the selective decision-feedback detector makes multiple decisions on the same block upon differently permuted channel matrix and generates multiple candidates for the results. The indicators of the decision errors associated with the candidates are compared, and one of the candidates with the minimum error is selected by a selector as the decided symbols to be used for further processing at a receiving station.