A novel FSK demodulation method using linear neural network

被引：0

作者：

Qi, YC ^{[1
]}

Jing, JF ^{[1
]}

Zhang, SX ^{[1
]}

机构：

[1] N China Elect Power Univ, Baoding 071003, Hebei, Peoples R China

来源：

ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 4 | 2005年

关键词：

linear neural network; FSK; demodulation; bit error rate;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel frequency shift keying (FSK) demodulation method using the linear neural network (LNN) is proposed in this paper. Even though the probability distribution function of the channel noise is unknown, the structure of the LNN based FSK demodulator can be derived. The design of the LNN and the demodulation scheme are dressed in detail. Theoretical analysis and computer simulation results show that the bit error rate (BER) performance of the demodulator is superior to that of the conventional coherent or incoherent FSK demodulator while the FSK signals are transmitted over an additive white Gaussian noise (AWGN) channel.

引用

页码：521 / 524

页数：4

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