摘要
针对传统解调方式无法处理强噪声背景下BPSK信号的问题,采用基于Duffing振子的混沌检测技术对通信信号进行解调,提出了基于Teager能量算子的混沌相变判别方法,提高了相变判别的实时性。结合BPSK信号的调制特点,给出了基于Duffing振子的BPSK信号解调算法。实验表明,这种算法的解调性能优于传统解调方式,可以应用于强噪声背景下微弱BPSK信号的检测。
In digital communication systems,traditional demodulation method could not handle weak BPSK signal in strong noise background.For this problem,a novel demodulation method based on Duffing oscillator is described in this paper.The chaotic phase transition identification method based on Teager energy operator is employed to improve the the real-time performance of phase discrimination.In considering the modulation characteristics of BPSK signal,the demodulation algorithm based on Duffing oscillator is proposed.Experimental results show that this new demodulation algorithm is better traditional algorithm in system performance and could be applied to weak BPSK signal detection in strong noise background.
出处
《通信技术》
2011年第9期4-6,共3页
Communications Technology
关键词
杜芬振子
相变判别
能量算子
微弱信号
Duffing oscillator
phase transition identification
energy operator
weak signal
