Blind estimation algorithm for frequency hopping parameters of improved time-frequency ridge

被引：1
|
作者：
Zhang S. [1 ]
Yao Z. [1 ]
He M. [2 ]
Fan Z. [1 ]
Yang J. [1 ]
机构：
[1] School of Missile and Engineering, Rocket Force University of Engineering, Xi'an
[2] Beijing Institute of Remote Sensing Equipment, Beijing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2019年 / 41卷 / 12期
关键词：
Fixed-frequency interference; Low SNR; Parameter estimation; Time-frequency analysis; Time-frequency ridge;
D O I：
10.3969/j.issn.1001-506X.2019.12.30
中图分类号：
学科分类号：
摘要：
In order to solve the problem that the time-frequency ridge-based frequency hopping parameter estimation algorithm has large estimation error when the signal-to-noise ratio (SNR) is lower than -5 dB, and the method fails in the case of fixed-frequency interference, an improved algorithm is proposed. On the basis of short-time Fourier transform (STFT), the original time-frequency diagram is denoised by the iterative method. According to the difference of dwell time between the frequency hopping signal and the fixed-frequency interference, the k-means clustering algorithm is used to eliminate the fixed-frequency interference,and extract its time-frequency ridge. Then the singular point of the extracted time-frequency ridge is detected by Haar wavelet, and the frequency hopping period, start time and hopping frequency are estimated. The simulation results show that the proposed algorithm can accurately estimate the frequency hopping parameters under the condition that the SNR is lower than -5 dB and there is strong fixed-frequency interference, and the estimated results are better than the original algorithm. © 2019, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：2885 / 2890
页数：5
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