Adaptive Soft Information Adjustment in Signal Receivers
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Solution Overview
Problem
Conventional signal receivers in communication systems face challenges in accurately adjusting soft information, leading to increased bit error rates (BER) due to the use of constant coefficients for compensation, which fail to adapt to the actual distribution conditions of soft information.
Innovation Solution
A signal receiver with adaptive soft information adjustment, comprising a demodulating circuit, a soft information adjusting circuit that calculates an index value based on the distribution of soft information, and a look-up table (LUT) to determine a scaling coefficient for dynamic adjustment, ensuring the soft information is optimally quantized and decoded with reduced BER.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If soft information is multiplied by a constant coefficient A for compensation, then the reliability of soft decision is improved, but the bit error rate increases when soft information is already good enough
Solution Approach 1:
The patent applies dynamics by replacing the static constant coefficient A with a dynamic scaling coefficient that adapts to the actual distribution characteristics of soft information. The scaling coefficient is calculated based on statistical parameters (mean and variance) of the soft information distribution, allowing the system to automatically adjust the compensation level according to current channel conditions and signal quality, thereby avoiding over-compensation when soft information is already reliable.
Solution Approach 2:
The patent implements parameter changes by modifying the scaling coefficient based on the statistical parameters of soft information distribution. Instead of using a fixed coefficient, the system calculates the mean and variance of soft information and derives an optimal scaling coefficient that adapts to changing signal conditions. This parameter adaptation resolves the contradiction by adjusting the compensation strength dynamically - stronger compensation when needed, weaker or no compensation when soft information quality is already high.
2Ease of operation
If soft information is adjusted using a constant coefficient, then the adjustment process is simple, but the accuracy of quantized data decreases due to inability to adapt to actual distribution conditions
Solution Approach 1:
The patent applies self-service by enabling the soft information adjustment process to automatically adapt to its own distribution characteristics. The system calculates statistical parameters from the soft information itself and uses these to determine the optimal scaling coefficient, eliminating the need for external manual adjustment or complex predefined models. This self-adaptive mechanism maintains operational simplicity while significantly improving quantization accuracy.
Solution Approach 2:
The patent implements feedback by using the statistical properties (mean and variance) of the soft information distribution as feedback signals to adjust the scaling coefficient. This closed-loop approach allows the system to continuously monitor the quality and distribution of soft information and automatically adjust the compensation level accordingly, achieving high accuracy without complex manual intervention.
3Reliability
If adaptive adjustment based on soft information distribution is implemented, then the bit error rate is reduced, but the device complexity increases due to additional calculation requirements
Solution Approach 1:
The patent replaces complex mechanical or circuit-based adjustment mechanisms with mathematical calculations performed on soft information statistics. Instead of using multiple physical components or complex analog circuits to achieve adaptive adjustment, the system uses computational methods to calculate the scaling coefficient based on mean and variance, significantly reducing hardware complexity while maintaining or improving performance.
Data Source
AI summary
A signal receiver with adaptive software information adjustment of a communication system is provided. The signal receiver receives a modulated signal comprising a plurality of packets, and includes: a demodulating circuit, configured to demodulate the modulated signal to generate a plurality of sets of soft information corresponding to each packet; a software information adjusting circuit, coupled to the demodulating circuit, configured to adjust the sets of soft information according to a distribution of the sets of soft information corresponding to each packet; a quantizer, coupled to the soft information adjusting circuit, configured to quantize the adjusted sets of soft information to generate a plurality of sets of data; and a decoder, coupled to the quantizer, configured to decode the data.