Scaled Alamouti Coding With Rotation for Lower Error Rates

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Solution Overview

Problem

The existing Alamouti coding scheme for wireless communications is limited in performance and efficiency, particularly in MIMO transmission systems, as it relies on simple repetition and does not effectively utilize scaling and rotation techniques to enhance diversity and decoding complexity.

Innovation Solution

The proposed solution involves a scaled and rotated Alamouti coding method that maps incoming symbols onto scaled and rotated versions for transmission, using piece-wise linear scaling functions and rotation angles to improve diversity and decoding efficiency, while also adapting decoding algorithms to minimize complexity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If standard Alamouti coding is used, then decoding complexity is low and implementation is simple, but performance and diversity order are limited

Engineering Contradiction:
ImproveperformanceVSAvoiddecoding complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by introducing scaling factors (α, β) and rotation angles (θ) to modify the Alamouti coding structure. The encoding equations are transformed from the standard form to include these parameters: x1 = αs1 + βs2* and x2 = e^(jθ)(αs2 - βs1*), which changes the signal characteristics while maintaining the fundamental diversity principle. This allows performance optimization without fundamentally changing the decoding approach.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent introduces dynamic parameters (scaling factors and rotation angles) that can be adjusted based on channel conditions and performance requirements. The scaling function M(·) provides dynamic adaptation by transforming symbols differently based on their magnitude, creating a more flexible coding scheme that adapts to varying signal conditions while keeping the receiver structure relatively simple.

Inventive Principle:
Principle #15Dynamics

2Reliability

If scaling functions with absolute value different from one are applied, then diversity gain and performance are improved, but decoding complexity increases

Engineering Contradiction:
Improvediversity gainVSAvoiddecoding complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent uses scaling functions with absolute values different from one (|M(s)| ≠ 1) to improve diversity gain. The scaling function M(·) is applied to transform symbols before transmission, creating scaled versions that enhance the diversity order. The decoding process incorporates these scaling factors to compensate for the transformation, maintaining accuracy while managing complexity through structured compensation rather than exhaustive search.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent implements feedback mechanisms where the receiver estimates channel conditions and signal characteristics, then uses this information to adjust decoding parameters. The scaling factors and rotation angles are recovered and used to reverse the transformation applied at the transmitter, creating a feedback loop that maintains performance while managing decoding complexity through informed parameter recovery.

Inventive Principle:
Principle #23Feedback

3Reliability

If piece-wise linear scaling functions are used, then performance and message-error rate are improved, but implementation complexity increases

Engineering Contradiction:
Improvemessage-error rateVSAvoidimplementation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent employs piece-wise linear scaling functions that divide the input signal range into multiple segments, each with its own linear transformation parameters. This allows the system to adapt to different signal conditions (low, medium, high power) with optimized parameters for each range, improving message-error rate by providing more nuanced signal processing while keeping each individual transformation simple and computationally manageable.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20100020896A1Scaled and rotated alamouti coding
Publication Date: 2010.01.28 KONINKLIJKE PHILIPS NV
  • US20100020896A1 patent drawing
  • US20100020896A1 patent drawing
  • US20100020896A1 patent drawing

AI summary

The present invention relates to an encoder for encoding incoming symbols of an incoming data stream into channel symbols of a channel data stream for transmission over a transmission channel as well as to a corresponding decoder. To improve the error rate compared to a known Alamouti encoder, a scaled (and further preferred, rotated) Alamouti encoder is proposed comprising: mapping means for block by block mapping incoming symbols onto pairs of channel symbols, a block comprising two incoming symbols, the mapping being arranged for mapping the block onto two pairs of channel symbols such that said two pairs of channel symbols include scaled versions of said two incoming symbols and/or of the complex conjugate of at least one of said two incoming symbols, said scaled versions being obtained by applying a scaling function having a scaling factor with an absolute value different from one and being piece-wise linear with at least two pieces, and output means for outputting said channel symbols.