A blind demodulation algorithm of random codes on carrier under low signal noise ratio by Morlet wavelet

Wei Huang, Xiangmo Zhao, Chao Wang
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引用次数: 1

Abstract

This paper proposes a novel blind demodulation algorithm of random codes on carrier under low signal noise ratio (SNR) by using continuous wavelet transform. We chose Morlet wavelet with similarity and symmetry. The proposed algorithm can demodulate random codes on carrier under low SNR without any prior knowledge. Simulation results show that the bit error rate (BER) curve of the existing blind demodulation algorithms of direct sequence spread spectrum is above the theoretical BER curve of the coherent demodulation. Simulation result of new algorithm shows that BER curve of the blind demodulation of the wavelet transform is below the theoretical BER curve of coherent demodulation. The novel blind demodulation algorithm allows to obtain an 8 dB gain in SNR terms compared with that obtained by the theoretical coherent modulation when SNR is 10–4.
基于Morlet小波的低信噪比载波随机码盲解调算法
提出了一种基于连续小波变换的低信噪比载波随机码盲解调算法。我们选择了具有相似性和对称性的Morlet小波。该算法可以在不需要任何先验知识的情况下,在低信噪比条件下解调载波上的随机码。仿真结果表明,现有直接序列扩频盲解调算法的误码率曲线均高于相干解调的理论误码率曲线。新算法的仿真结果表明,小波变换盲解调的误码率曲线低于相干解调的理论误码率曲线。当信噪比为10-4时,与理论相干调制相比,该盲解调算法可获得8 dB的信噪比增益。
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