MIMO Single-Carrier Detection via MMSE-SQRD Decomposition
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Solution Overview
Problem
Current detection methods for MIMO single-carrier block transmission systems face challenges with high complexity and low performance due to the need for time-domain modulation symbol detection, which is not efficiently addressed by existing algorithms like MMSE-based parallel interference cancellation.
Innovation Solution
A detection method involving fast Fourier transform, MMSE-SQRD decomposition, and iterative soft interference cancellation is employed, which includes preprocessing, layer-by-layer equalization, and log-likelihood ratio calculation to improve detection performance while reducing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If MMSE-based parallel interference cancellation method is used for MIMO single-carrier detection, then detection performance may be improved, but implementation complexity increases and delay increases
Solution Approach 1:
The patent segments the detection process into frequency domain processing (FFT, subcarrier demapping, MMSE-SQRD decomposition) and time domain processing (inverse FFT, symbol decision). This segmentation allows the complex MIMO detection to be divided into manageable stages, reducing overall implementation complexity while maintaining detection performance.
Solution Approach 2:
The patent introduces frequency domain transformation as an intermediary step between signal reception and detection. By transforming the signal to frequency domain, performing MMSE-SQRD decomposition, and then transforming back to time domain, the patent creates a bridge that simplifies the detection process and reduces complexity compared to direct time domain methods.
2Measurement precision
If MMSE-based parallel interference cancellation method is used for MIMO single-carrier detection, then detection performance may be improved, but detection delay increases
Solution Approach 1:
The patent performs preliminary frequency domain transformation and MMSE-SQRD decomposition before the actual detection process. By pre-processing the signal in frequency domain and organizing it through SQRD decomposition, the subsequent detection steps are simplified and can be executed more quickly, reducing overall detection delay.
3Ease of operation
If conventional MIMO detection algorithms are applied to single-carrier block transmission, then detection may be performed, but inter-stream interference suppression is insufficient
Solution Approach 1:
The patent changes the domain parameter from time domain to frequency domain for processing. By performing FFT transformation, subcarrier demapping, and MMSE-SQRD decomposition in frequency domain, the patent transforms the detection problem into a form where inter-stream interference can be more effectively suppressed through the structured decomposition approach.
Data Source
AI summary
The present invention discloses a detection method, a receiver, and an apparatus in a multiple-input multiple-output single-carrier block transmission system. Through sorted QR decomposition (Sorted QR Decomposition, SQRD) decomposition based on a minimum mean squared error (Minimum Mean Squared Error, MMSE) criterion, an matrix inverse operation in minimum mean squared error equalization is avoided, and complexity is significantly reduced. In addition, through layer-by-layer soft interference cancellation detection after the SQRD decomposition and further iterative processing, better detection performance may be obtained. Especially, inter-stream interference suppression may be performed in first iteration. Compared with a conventional parallel iterative soft interference cancellation detection algorithm, with the same number of times of iteration, especially under the limit that a receiver can only support a small number of times of iteration, the inter-stream interference suppression has more evident advantages, and an advantage in the aspect of cost performance is very obvious.