Delta-Sigma Modulation With Neural Compensation for Spectrum Leakage
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Solution Overview
Problem
Delta-sigma modulation systems in radio communication face distortion issues during signal transmission, leading to spectrum leakage and reduced signal quality due to transmission distortion, which existing compensation technologies cannot effectively address.
Innovation Solution
A delta-sigma modulation apparatus with a neural network processor that approximates transmission characteristics and generates an approximated signal to compensate for distortion, allowing for effective suppression of transmission distortion and improved signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If delta-sigma modulation is used to reduce power consumption, then power consumption is reduced, but transmission distortion occurs leading to spectrum leakage
Solution Approach 1:
The invention applies preliminary distortion compensation by generating a compensation signal before transmission based on predicted transmission characteristics. The neural network processor pre-calculates the distortion that will occur during transmission and generates a compensation signal in advance, which is then combined with the original signal to counteract the expected distortion, thereby maintaining signal quality while using power-efficient delta-sigma modulation
Solution Approach 2:
The invention implements feedback by using a neural network processor to predict transmission characteristics and generate compensation signals. The system continuously monitors transmission quality and adjusts the compensation signal accordingly, creating a closed-loop control system that maintains signal integrity despite the power consumption benefits of delta-sigma modulation
2Reliability
If existing distortion compensation technology is used, then some distortion is compensated, but transmission distortion during signal transmission cannot be effectively addressed
Solution Approach 1:
The invention introduces a neural network processor as an intermediary between the delta-sigma modulator and the transmission channel. This intermediary predicts transmission characteristics and generates compensation signals that account for distortion occurring during transmission, bridging the gap between the modulator and the actual transmission process, thereby extending compensation coverage beyond what existing technologies achieve
Solution Approach 2:
The invention dynamically adjusts compensation parameters based on predicted transmission characteristics. The neural network processor analyzes transmission conditions and modifies the compensation signal parameters in real-time, allowing the system to adapt to varying transmission conditions and effectively address distortion across different transmission scenarios
Data Source
AI summary
A delta-sigma modulation apparatus performs delta-sigma modulation on a first signal as an input signal and outputs a second signal, outputs, using the second signal and a third signal generated through a transmission process of the second signal, a fourth signal that is an approximated value of a signal which is generated through at least part of the transmission process, and performs the delta-sigma modulation on the first signal using the fourth signal and outputs the second signal.