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Demodulation method for multi-carrier differential chaotic systems based on low-rank matrix estimation

A low-rank matrix, chaotic system technology, applied in the modulation carrier system, multi-frequency code system, transmission system and other directions, can solve the problems of insufficient information utilization, not considering the structural characteristics of the transmitted signal in the multi-carrier differential chaotic system, etc. Superior performance, improving bit error rate performance, and reducing the effect of bit error rate

Active Publication Date: 2021-06-08
SUN YAT SEN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] In order to overcome the existing MC-DCSK system, the existing MC-DCSK system only uses the properties of multi-carriers to remove the delay line and improve energy and spectrum utilization, and does not consider the structural characteristics of the transmitted signals in the multi-carrier differential chaotic system, and the existence of information Provide a demodulation method for multi-carrier differential chaotic systems based on low-rank matrix estimation due to insufficient utilization of technical defects

Method used

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  • Demodulation method for multi-carrier differential chaotic systems based on low-rank matrix estimation
  • Demodulation method for multi-carrier differential chaotic systems based on low-rank matrix estimation
  • Demodulation method for multi-carrier differential chaotic systems based on low-rank matrix estimation

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Embodiment 1

[0062] Such as figure 1 As shown, the multi-carrier differential chaotic system demodulation method based on low-rank matrix estimation includes the following steps:

[0063] S1: Process data and send signals on the transmitter;

[0064] S2: The receiving end separates the received signal;

[0065] S3: Using a matched filter to filter the separated signal;

[0066] S4: Sampling the filtering result and performing conversion calculation, and completing signal demodulation according to the calculation result.

[0067] More specifically, such as figure 2 As shown, the steps of the step S1 specifically include:

[0068] S11: Convert serial data into parallel data through serial-to-parallel conversion [s 1 ,s 2 ,...,s M-1 ];

[0069] S12: The chaotic sequence generator generates a chaotic sequence of length β[x 1 , x 2 ,...,x β ], which is shaped by root-square raised cosine roll-off filter to generate chaotic spreading code x(t);

[0070] S13: parallel data[s 1 ,s 2...

Embodiment 2

[0108] More specifically, the simulation is carried out on the basis of Embodiment 1. The simulation system is a multi-carrier differential chaotic communication system composed of an MC-DCSK transmitter and an MC-DCSK receiver with low-rank matrix estimation. The modulation method adopts binary phase shift keying (Binary Phase Shift Keying, BPSK). Each wireless link is an independent Rayleigh distributed channel, and the noise signal is additive white Gaussian noise. By comparing the bit error rate performance (Bit Error Rate, BER) of the traditional MC-DCSK receiver and the MC-DCSK receiver based on low-rank matrix estimation with the same MC-DCSK transmitter, the signal-to-noise ratio (Signal-to -Noise Ratio, SNR), to describe the improvement of the low-rank matrix estimation to the BER performance of the MC-DCSK receiver.

[0109] In the specific implementation process, as the multipath expression described in formula (2), when L=1 and λ l =1, this formula represents the...

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Abstract

The multi-carrier differential chaotic system demodulation method based on low-rank matrix estimation provided by the present invention includes the following steps: processing data on the transmitter and sending signals; the receiving end separates the received signals; The separated signal is filtered; the filtering result is sampled and converted to calculation, and the demodulation of the signal is completed according to the calculation result. The multi-carrier differential chaotic system demodulation method based on low-rank matrix estimation provided by the present invention uses the structural characteristics of the transmitted signal in the multi-carrier system and combines the low-rank matrix estimation method to restore a low-rank matrix from the received signal, thereby reducing The noise of the received signal matrix; in the subsequent differential chaotic signal demodulation process, the noise interference is effectively suppressed, and finally the effect of reducing the bit error rate is achieved.

Description

technical field [0001] The invention relates to the technical field of chaotic communication, and more specifically, to a demodulation method of a multi-carrier differential chaotic system based on low-rank matrix estimation. Background technique [0002] The low complexity, high security, and superior anti-multipath and anti-jamming properties of chaotic sequences have made chaotic modulation widely studied in the past few decades. According to whether chaotic synchronization is required at the receiving end, digital chaotic modulation schemes can be divided into two types: coherent and non-coherent. Reference chaotic signal, so non-coherent chaotic modulation has stronger practicability. Among the existing incoherent chaotic modulation techniques, Differential Chaos Shift Keying (DCSK) [1] is widely accepted due to the removal of complex chaotic synchronization circuits and the ability to provide better bit error rate performance. However, due to the need to transmit ref...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L27/00H04L27/26
CPCH04L27/001H04L27/2601
Inventor 张琳陈炳均
Owner SUN YAT SEN UNIV