Signal Loss Compensation via Segmented Algorithm Selection
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently compensating signal loss with existing concealment algorithms, as they either consume excessive power or fail to effectively handle long continuous signal loss.
Innovation Solution
A method that combines multiple signal loss concealment algorithms with varying power consumption rates, using a lightweight algorithm for initial compensation and a heavyweight algorithm for more significant losses, while generating synthetic signals to improve signal continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a strong concealment algorithm is used to compensate long continuous signal loss, then signal loss compensation ability is improved, but power consumption increases
Solution Approach 1:
The patent segments the lost signal units into three groups: first group (1st to (K-1)th) compensated by first concealment algorithm, second group ((K+X+1)th to (K+Y)th) compensated by second concealment algorithm, and third group (Kth to (K+X)th) compensated by at least one of the algorithms. This segmentation allows different concealment strengths to be applied to different portions of lost signals, balancing power consumption and compensation effectiveness.
Solution Approach 2:
The patent applies different concealment algorithms to different portions of lost signal units based on local requirements. The first and second concealment algorithms have different concealment capabilities and power consumption characteristics. By selectively applying algorithms to specific groups of lost units, the system optimizes local compensation quality while controlling overall power consumption.
2Device complexity
If a single concealment algorithm is used, then device complexity is reduced, but signal loss compensation effectiveness deteriorates
Solution Approach 1:
The patent implements a dynamic algorithm selection mechanism where the system can adaptively choose which concealment algorithm to apply to different groups of lost signal units. This dynamic approach allows the system to adjust algorithm usage based on signal loss patterns and requirements, improving compensation effectiveness without permanently increasing system complexity.
Solution Approach 2:
The patent applies concealment algorithms partially to different groups of lost signal units rather than uniformly to all lost units. The first concealment algorithm is applied to the first group, the second algorithm to the second group, and at least one algorithm to the third group. This partial application strategy improves overall compensation effectiveness while avoiding the excessive complexity of applying a single strong algorithm to all lost units.
Data Source
AI summary
A signal loss compensation method, for compensating an input signal comprising (K+Y) lost signal units and normal signal units. The signal loss compensation method comprises: compensating 1st to (K−1)th lost signal units by a first signal loss concealment algorithm to generate a first compensation signal and accordingly generating a first synthetic signal; compensating (K+X+1)th to (K+Y) th lost signal units by a second signal loss concealment algorithm to generate a second compensation signal and accordingly generating a second synthetic signal; compensating K th to (K+X)th lost signal units by the first signal loss concealment algorithm or the second signal loss concealment algorithm to generate a third synthetic signal; generating an output signal according to the first synthetic signal, the second synthetic signal, the third synthetic signal and the normal signal units. K and Y are positive integers, X is a natural number, and Y is larger than X.


