Multi-Carrier DCSK Signal Reconstruction for Fading Channels
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Solution Overview
Problem
Conventional multi-carrier DCSK communication systems experience performance deterioration and reduced reliability in frequency-selective fading channels due to the destruction of autocorrelation between reference and information-bearing signals, leading to poor bit error rate (BER) performance.
Innovation Solution
A reconstruction method and device for multi-carrier DCSK signals that involves acquiring and processing information bit sequences, performing cross-multiplication with chaotic signals, reconstructing information-bearing matrices using predetermined reconstruction matrices, and generating transmission symbols to enable reliable demodulation in frequency-selective fading channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional multi-carrier DCSK is used to improve spectral efficiency, then spectral efficiency is improved, but communication reliability deteriorates in frequency-selective fading channels
Solution Approach 1:
The patent applies preliminary action by constructing a reconstruction matrix before signal transmission. This reconstruction matrix is pre-computed based on channel state information and used to reconstruct the information-bearing signal at the receiver end, enabling the system to compensate for frequency-selective fading effects before they degrade communication reliability
Solution Approach 2:
The reconstruction matrix serves as an intermediary element between the transmitted signal and the received signal. It mediates the relationship by transforming the received signal in a way that compensates for channel effects, allowing the system to maintain reliability while preserving the spectral efficiency benefits of multi-carrier DCSK
2Productivity
If multi-carrier DCSK is used to transmit data on remaining subcarriers, then spectral efficiency is improved, but autocorrelation between reference and information-bearing signals is destroyed
Solution Approach 1:
The reconstruction matrix is pre-computed and stored before transmission. At the receiver end, this pre-computed matrix is used to reconstruct the information-bearing signal by reversing the mixing operation that occurred during transmission, thereby restoring the autocorrelation property that was destroyed by the multi-carrier modulation
Solution Approach 2:
The reconstruction matrix acts as an intermediary that restores the autocorrelation property. It mediates between the destroyed autocorrelation in the transmitted signal and the required autocorrelation for reliable detection at the receiver, enabling the system to maintain both spectral efficiency and signal integrity
Data Source
AI summary
A reconstruction method for DCSK signals is provided. An information bit sequence to be transmitted is acquired, which is processed by serial-to-parallel conversion. A processed information bit sequence is input into a modulator for modulation to obtain a modulated signal matrix. Cross multiplication is performed between the modulated signal matrix and a chaotic signal to obtain an original information-bearing matrix, which is reconstructed according to a predetermined reconstruction matrix to obtain an information-bearing reconstruction matrix. A transmission symbol is generated according to the information-bearing reconstruction matrix and a reference signal matrix in combination with frame structure information of the transmission symbol, and is sent to a receiving end via a wireless network to demodulate a received signal according to a reconstruction matrix. A reconstruction device for DCSK signals is also provided.