Waveform Pre-Processing for Multi-Carrier Signal Reception
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Solution Overview
Problem
Current multi-carrier communication systems with non-orthogonal waveforms face challenges in reducing reception complexity and latency, while also dealing with non-Gaussian characteristics of residual interference, which affect signal transmission efficiency.
Innovation Solution
A method and apparatus that perform waveform pre-processing, check for Gaussian proximity, and apply soft de-mapping based on statistical characteristics of residual interference, using a waveform pre-processor, controller, and soft de-mapper to optimize signal reception in multi-carrier systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-tap equalizer is used for interference attenuation, then reception performance degradation is prevented, but reception complexity and latency increase
Solution Approach 1:
The patent applies preliminary action by performing waveform pre-processing before the main reception processing. The pre-processed signal is stored in a buffer, and subsequent reception operations use this pre-processed signal, thereby avoiding the need for complex multi-tap equalization while maintaining reception performance.
Solution Approach 2:
The patent extracts the interference attenuation function from the main reception processing chain and implements it separately through waveform pre-processing. This separation allows the main receiver to operate with reduced complexity while still benefiting from interference mitigation.
2Measurement precision
If non-orthogonal waveform is used, then frequency confinement is improved, but reception performance degradation occurs due to interference
Solution Approach 1:
The patent converts the harmful interference inherent in non-orthogonal waveforms into a manageable characteristic by modeling it as non-Gaussian noise. The soft demapper is specifically designed to handle non-Gaussian distributed signals, transforming the previously harmful interference into a statistically characterizable phenomenon that can be compensated for.
Solution Approach 2:
The patent changes the statistical modeling approach from assuming Gaussian distribution to modeling the interference as non-Gaussian distribution. This parameter change in the statistical model enables the soft demapper to accurately process signals with non-orthogonal waveforms while maintaining reception performance.
3Loss of time
If signal processing complexity is reduced, then latency is decreased, but signal transmission efficiency may be compromised
Solution Approach 1:
By performing waveform pre-processing in advance and storing the results, the patent eliminates the need for complex real-time processing during reception. This preliminary action reduces latency while maintaining signal transmission efficiency through the use of pre-computed pre-processed signals.
Data Source
AI summary
The present invention relates to a 5th-generation (5G) or pre-5G communication system, which is to be provided for supporting a higher data transmission rate after the 4th-generation (4G) communication system, such as long term evolution (LTE). The present invention provides a method for receiving a signal in a multi-carrier system, the method comprising the steps of: performing, with respect to an input signal, a waveform pre-processing operation on the basis of at least one of an equalizing operation and a filtering operation; checking whether the waveform pre-processed signal is a Gaussian proximity signal; and performing soft-de-mapping with respect to the waveform pre-processed signal on the basis of a result of the checking.