论文部分内容阅读
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。
Aiming at the problem that the traditional demodulation method can not deal with the BPSK signal under strong noise, the communication signal is demodulated by using the chaos detection technique based on Duffing oscillator. A chaotic phase change detection method based on Teager energy operator is proposed, Real-time. Combining with the modulation characteristics of BPSK signal, a BPSK signal demodulation algorithm based on Duffing oscillator is given. Experiments show that the demodulation performance of this algorithm is better than the traditional demodulation method and it can be applied to the detection of weak BPSK signal under strong noise.