Frequency estimation for underwater CW pulse by interpolation on fractional Fourier coefficients based on amplitude ratio method

被引:1
作者
Li, Lin [1 ,2 ,3 ]
Yin, JingWei [1 ,2 ,3 ]
Han, Xiao [1 ,2 ,3 ]
Ge, Wei [1 ,2 ,3 ]
机构
[1] Harbin Engn Univ, Acoust Sci & Technol Lab, Harbin 150001, Peoples R China
[2] Harbin Engn Univ, Key Lab Marine Informat Acquisit & Secur, Minist Ind & Informat Technol, Harbin 150001, Peoples R China
[3] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Frequency estimation; DFT interpolation; Underwater signal processing; CW pulse; Zero-padding; PARAMETERS;
D O I
10.1186/s13634-023-01023-0
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Fast and accurate estimation of sinusoidal signals plays an important role in many fields like communications, radar, sonar, etc. In underwater signal processing applications, sinusoidal signals usually take the form of CW pulses in most practical applications, therefore, zero-padding and duty-cycle show their great importance to the estimation of sinusoidal signals. In this paper, a high-precision estimation algorithm of sinusoidal signal is proposed, which combines amplitude ratio algorithm and fractional Fourier coefficient interpolation algorithm. The proposed algorithm uses the adjacent spectral line ratio algorithm instead of the Fourier coefficient maximum amplitude discrete spectral line search algorithm for coarse estimation, and modifies the traditional interpolation method. The proposed algorithm improves the Fourier coefficient interpolation algorithm by combining zero-padded signals to achieve the accurate frequency estimation for zero-padded sinusoidal signal. The performance of the algorithm is also in accordance with theoretical level for zero-padded signals, which is a great improvement over the frequency estimation algorithm for non-padded signals as well as the algorithm for zero-padding signals. The theoretical results are verified by extensive computer simulations which show that the proposed algorithm can both achieve better results for zero-padding cases and maintain comparable performance with competing algorithms for the non-padded signal. Therefore, the algorithm can be better applied to practical underwater detection or communication signals.
引用
收藏
页数:23
相关论文
共 27 条
[1]   Iterative frequency estimation by interpolation on Fourier coefficients [J].
Aboutanios, E ;
Mulgrew, B .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (04) :1237-1242
[2]  
Aboutanios E., 2002, THESIS
[3]  
Abraham DouglasA., 2019, Underwater Acoustic Signal Processing, DOI DOI 10.1007/978-3-319-92983-5
[4]  
[Anonymous], 2008, Digital Processing of Random Signals: Theory and Methods
[5]   Frequency estimation by two- or three-point interpolated Fourier algorithms based on cosine windows [J].
Belega, Daniel ;
Petri, Dario .
SIGNAL PROCESSING, 2015, 117 :115-125
[6]   Frequency estimation of a single real-valued sinusoid: An invariant function approach [J].
Candan, Cagatay ;
Celebi, Utku .
SIGNAL PROCESSING, 2021, 185
[7]   Analysis and Further Improvement of Fine Resolution Frequency Estimation Method From Three DFT Samples [J].
Candan, Cagatay .
IEEE SIGNAL PROCESSING LETTERS, 2013, 20 (09) :913-916
[8]   A Method For Fine Resolution Frequency Estimation From Three DFT Samples [J].
Candan, Cagatay .
IEEE SIGNAL PROCESSING LETTERS, 2011, 18 (06) :351-354
[9]   A Fourier Transform-Based Frequency Estimation Algorithm [J].
Carboni, Alberto ;
Ferrero, Alessandro .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2018, 67 (07) :1722-1728
[10]   Frequency Estimation by Interpolation of Two Fourier Coefficients: Cramer-Rao Bound and Maximum Likelihood Solution [J].
D'Amico, Antonio Alberto ;
Morelli, Michele ;
Moretti, Marco .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (10) :6819-6831