A Blind Parameter Estimation Method of Frequency Hopping Signal with Low SNR-Reference-Cited by-同舟云学术

A Blind Parameter Estimation Method of Frequency Hopping Signal with Low SNR

Published:2021-04-05 Issue: Volume:15 Page:248-253
ISSN:1998-4464
Container-title:International Journal of Circuits, Systems and Signal Processing
language:en
Short-container-title:

Author:

Wang Zengke¹,Li Yi¹,Xu Wei²

Affiliation:

1. College of Electronic Information and Optical Engineering, Nankai University, Tianjin, 300350, China

2. Institute of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China

Abstract

In order to effectively estimate the parameters of the frequency hopping signals under low signal-to-noise ratio (SNR), a blind parameter estimation method based on the modified discrete time Wigner-Ville distribution (MDTWVD) is proposed. We choose a low order Chebyshev polynomial as the kernel function for reducing the cross-term. Then, the parameters of the frequency hopping signals are finally obtained from the MDTWVD. The simulation experiment results show that the method used in this paper can effectively and accurately estimate frequency hopping signals parameters, especially under low SNR condition compared with other estimating methods.

Publisher

North Atlantic University Union (NAUN)

Subject

Electrical and Electronic Engineering,Signal Processing

Reference17 articles.

1. Z. Li, J. Zhou, H. Chen, et al. Parameter estimation of frequency hopping signals based on AIC [J]. IET Communications, vol. 13, no. 13, pp. 1886-1892, Aug 2019.

2. W. Fu, X. Li, N. Liu, et al. Parameter blind estimation of frequency-hopping signal based on time-frequency diagram modification. Wireless Personal Communications, vol. 97, no. 3, pp. 3979-3992, Aug 2017.

3. I. Djurović, Estimation of sinusoidal frequency-modulated signal parameters in high-noise environment. Signal, Image and Video Processing, vol.l1, pp. 1537–1541, May 2017.

4. L. Jiang, L. Li, G. Zhao, et al. Instantaneous Frequency Estimation of Nonlinear Frequency-Modulated Signals Under Strong Noise Environment[J]. Circuits Systems and Signal Processing, 2016, vol. 35, no. 10, pp:3734-3744, Jan 2016

5. D. Fourer, F. Auger, K. Czarnecki, et al. Chirp Rate and Instantaneous Frequency Estimation: Application to Recursive Vertical Synchrosqueezing[J]. IEEE Signal Processing Letters, vol. 24. no. 11, pp. 1724-1728, Jun 2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Parameter Estimation Method of FHSS Signal with Low SNR;IEEJ Transactions on Electrical and Electronic Engineering;2023-03-21

2. Unlocking Signal Processing With Image Detection: A Frequency Hopping Detection Scheme for Complex EMI Environments Using STFT and CenterNet;IEEE Access;2023