Science and Technology on Electromechanical Dynamic Control Laboratory, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Beijing Institute of Electronic System Engineering, Beijing 100854, China.
Sensors (Basel). 2020 Nov 10;20(22):6412. doi: 10.3390/s20226412.
To realize the blind estimation of binary phase shift keying (BPSK) signal, this paper describe a new relational expression among the state of Duffing oscillator excited by BPSK signal, the pseudo-random code of BPSK signal, and the difference frequency between the to-be-detect signal and internal drive force signal of Duffing oscillator. Two output characteristics of Duffing oscillators excited by BPSK signals named implied periodicity and pilot frequency array synchronization are presented according to the different chaotic states of Duffing oscillator. Then two blind estimation methods for the carrier frequency and pseudo-random sequence of the BPSK signal are proposed based on these two characteristics, respectively. These methods are shown to have a significant effect on the parameter estimation of BPSK signals with no prior knowledge, even at very low signal-to-noise ratios (SNRs).
为了实现二进制相移键控（BPSK）信号的盲估计，本文描述了一种新的关系表达式，它涉及由 BPSK 信号激励的 Duffing 振荡器的状态、BPSK 信号的伪随机码以及待检测信号与 Duffing 振荡器内部驱动力信号之间的差频。根据 Duffing 振荡器的不同混沌状态，本文提出了两种由 BPSK 信号激励的 Duffing 振荡器的输出特性，分别命名为隐含周期性和导频数组同步。然后，基于这两个特性，分别提出了两种用于 BPSK 信号载波频率和伪随机序列的盲估计方法。这些方法在没有先验知识的情况下，对 BPSK 信号的参数估计具有显著的效果，即使在很低的信噪比（SNR）下也是如此。
