Abstract：MFSK signal is widely used in military and civil communication systems. For the issues of its modulation parameters’ estimation, wavelet transform theory is mostly adopted in current algorithms. However, the anti-noise performance is poor and parameters are difficult to choose. On the research of indeterminacy theory of spectrogram, a strategy for spectrograms modifying is proposed and the waveform transforming theory is drawn into to upgrade the duty cycle. As the result, the anti-noise performance is improved and the self adaption blind parameter estimation is achieved. The simulation results indicate a better performance of proposed algorithm than current algorithms in anti-noise and frequency offset performance and robustness of parameters which makes it a better choice for engineering practice.
邱钊洋,黄焱,欧阳喜. 基于时频修正与波形变换的MFSK信号调制参数盲估计[J]. 电子与信息学报, 2017, 39(10): 2536-2540.
QIU Zhaoyang, HUANG Yan, OUYANG Xi. Blind Estimation of Modulation Parameters of MFSK Signal Based on Time-frequency Modifying and Waveform Transforming. JEIT, 2017, 39(10): 2536-2540.
WANG H, DOBRE O A, LI C, et al. Joint classification and parameter estimation of M-FSK signals for cognitive radio[C]. IEEE International Conference on Communications, Ottawa, Canada, 2012: 1732-1736.
[2]
WANG H, DOBRE O, LI C, et al. Blind cyclostationarity- based symbol period estimation for FSK signals[J]. IEEE Communications Letters, 2015, 19(7): 1149-1152. doi: 10. 1109/LCOMM.2015.2436915.
WANG W, ZHANG X Y, TENG X Y, et al. Symbol rate estimation of M-ASK modulated signals[J]. Journal of Information Engineering University, 2015, 16(1): 35-40. doi: 10.3969/j.issn.1671-0673.2015. 01.007.
[4]
WANG Q, HUANG B, and XU Z. Non-data-aided timing recovery algorithm for MIL-STD SOQPSK[J]. Electronics Letters, 2015, 51(5): 423-425. doi: 10.1049/el.2014.4016.
[5]
SUDHAN Majhi and TING Seeho. Blind symbol-rate estimation and test bed implementation of linearly modulated signals[J]. IEEE Transactions on Vehicular Technology, 2015, 64(3): 954-963.
JI Yong and XU Peixia. The estimation of symbol rate of digital signals based on wavelet transform[J]. Journal of Circuits and Systems, 2003, 8(1): 12-15.
[7]
GAO Y, WAN Y, LI L, et al. Baud rate estimation of fsk signals based on wavelet transform[C]. Second International Conference on Intelligent System Design and Engineering Application, Sanya, China, 2012: 181-184.
WANG Peng and LI Jianping. Quantum interpretation of signal’s uncertainty principle[J]. Journal of University of Electronic Science and Technology of China, 2008, 37(1): 14-16.
LIU Shuangping, WEN Xiang, and JIN Liang. A new nonlinear filtering algorithm for colored background self-noise suppressing of symbol rate estimation[J]. Acta Electronica Sinica, 2007, 35(1): 95-99.
WANG Qingyuan, ZHANG Gengxin, HU Jing, et al. A signal detection algorithm based on time-frequency analysis[J]. Radio Communications Technology, 2016(1): 38-42.
