FBMC-MIMO Symbol Pairing and ML Detection

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Solution Overview

Problem

FBMC-MIMO systems face challenges in achieving optimal error rate performance due to interference from past and future symbols, and neighboring carriers, which complicates maximum likelihood detection and increases system complexity.

Innovation Solution

The system employs an FBMC-MIMO transmission/reception system with linear combination and interleaving of input symbols before modulation, followed by maximum likelihood detection using QR decomposition of the MIMO channel matrix, allowing for efficient projection and detection of symbols without increasing the number of antennas.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If maximum likelihood detection is used in FBMC-MIMO systems, then error rate performance is improved, but system complexity increases due to interference from past and future symbols and neighboring carriers

Engineering Contradiction:

Improveerror rate performanceVSAvoiddetection complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the detection problem by separating the processing of current symbol from past and future symbols. The receiver processes only the current symbol block without needing to decode past or future symbols, dividing the complex ML detection into manageable segments that reduce computational complexity while maintaining error rate performance

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies preliminary action by pre-processing the received signal through matched filtering with the prototype filter before detection. This preliminary filtering operation removes the interference from past and future symbols in advance, simplifying the subsequent detection process and reducing the complexity of maximum likelihood detection

Inventive Principle:

Principle #10Preliminary action

2Reliability

If the number of antennas is increased to improve diversity, then error rate performance is improved, but system complexity and cost increase

Engineering Contradiction:

Improvediversity performanceVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent changes the parameter of signal processing by introducing specific filtering operations and detection algorithms that exploit the structure of FBMC-MIMO signals. By modifying the detection approach rather than increasing hardware, the system achieves diversity gains through parameter optimization instead of adding more antennas, thereby avoiding increased system complexity

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentEP3370381B1System for transmitting/receiving fbmc-mimo with ml detection

Publication Date: 2023.08.02 COMMISSARIAT A LENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

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AI summary

The invention relates to an FBMC-MIMO system transmitter in which, for each FBMC-OQAM modulator associated with a transmitting antenna, the symbols of a block to be transmitted are grouped into pairs. The input symbols of the same pair are combined to provide combined first and second symbols, and these combined symbols are fed to the FBMC-OQAM modulator. The invention also relates to a receiver comprising, for each receiving antenna, an FBMC-OQAM demodulator (4101, ..., 410NR) and an ML detector (450k) based on the observed values obtained. The ML detection method used allows for the abstraction of intrinsic interference and the achievement of a high degree of diversity without increasing the number of antennas.