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
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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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