Abstract
Due to the relative radial movement between the transmitter and receiver of marine radar, the frequency of radar sampling signal is prone to deviation, which reduces the quality of radar sampling signal. In order to ensure the effective transmission of radar signals, a frequency offset estimation method of marine radar sampling signals in X-band based on phase difference is proposed. The AD9225 chip is selected to acquire the marine radar signal, and the undersampling theorem is used to determine the marine radar signal sampling frequency, so as to prevent the radar signal from mixing. After digital down conversion processing, two baseband signals are obtained, and the phase information of the radar sampling signal is extracted. Based on the Midamble code, the frequency offset estimation program of marine radar sampling signal is designed. The frequency offset estimation result of the signal can be obtained by executing the established procedure, and the frequency offset estimation of the sampling signal of the X-band marine radar can be realized. Experimental data show that after the application of the proposed method, the minimum signal to noise ratio of radar sampling signal is 4 dB, the minimum mean square error of frequency offset estimation is 4%, and the minimum time of frequency offset estimation is 2 s, which fully confirms that the proposed method has better application performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pehlivan, M., Yegin, K.: X-band low-probability intercept marine radar antenna design with improved bandwidth and high isolation. IEEE Trans. Antennas Propag. 69(12), 8949–8954 (2021)
Yang, F., Ma, M.: Data transmission delay compensation algorithm for wireless multi-hop communication network. Comput. Simul. 39(4), 146–149, 253 (2022)
Ali, A., Magarini, M., Pirzada, N., et al.: Direction of arrival and least square error technique used in massive MIMO for channel estimation. Int. J. Math. Comput. Sci. 16(2), 647–657 (2021)
Tajbakhsh, K., Ebrahimi, S., Dashtdar, M.: Low-coherence quantitative differential phase-contrast microscopy using Talbot interferometry. Appl. Opt. 61(2), 398–402 (2022)
Lin, T.T., Hwang, F.H.: Design of a blind estimation technique of carrier frequency offset for a universal-filtered multi-carrier system over Rayleigh fading. IEEE Wirel. Commun. Lett. 11(5), 1027–1031 (2022)
Rajanandhini, C., Babu, S.: ICA based estimation and compensation of carrier frequency offset for MBOFDM based UWB systems. Microprocess. Microsyst. 82(9), 103824 (2021)
Yang, L.H., Zenghao, W., Jie, Z., et al.: Deep learning based Doppler frequency offset estimation for 5G-NR downlink in HSR scenario. High Technol. Lett. 28(2), 115–121 (2022)
Liang, Z., Li, Y., Niu, J., et al.: Fast radar detection method based on two-dimensional trilinear autocorrelation function for maneuvering target with jerk motion. J. Appl. Remote Sens. 15(2), 026508-1–026508-15 (2021)
Ikeda, T., Tsuji, T., Konishi, C., et al.: Spatial autocorrelation method for reliable measurements of two-station dispersion curves in heterogeneous ambient noise wavefields. Geophys. J. Int. 226(2), 1130–1137 (2021)
Peng, J., Rajeevan, H., Kubatko, L., et al.: A fast likelihood approach for estimation of large phylogenies from continuous trait data. Mol. Phylogenet. Evol. 161(4), 107142 (2021)
Candan, Ç., Çelebi, U.: Frequency estimation of a single real-valued sinusoid: an invariant function approach. Sig. Process. 185, 108098 (2021)
Zhang, J.F., Wang, F.Y., Ye, S.U., et al.: Research on power grid primary frequency control ability parallel computing based on multi-source data. Acta Automatica Sinica 48(6), 1493–1503 (2022)
Li, R., Xuan, J., Shi, T.: Frequency estimation based on symmetric discrete Fourier transform. Mech. Syst. Sig. Process. 160, 107911 (2021)
Liang, Y., Zhang, Z., Li, H., et al.: A robust and accurate discrete Fourier transform-based phasor estimation method for frequency domain fault location of power transmission lines. IET Gener. Transm. Distrib. 16(10), 1990–2002 (2022)
Chen, G., et al.: Real-time reception of NHS-OFDM signal with SPA-enhanced channel estimation for intensity-modulated direct-detection systems. Chin. Opt. Lett. 20(5), 050601 (2022)
Chui, C.K., Jiang, Q., Li, L., Jian, Lu.: Analysis of an adaptive short-time Fourier transform-based multicomponent signal separation method derived from linear chirp local approximation. J. Comput. Appl. Math. 396, 113607 (2021)
Tse, J.R., Shen, L., Shen, J., et al.: Nyquist sampling theorem and Bosniak classification, version 2019: effect of thin axial sections on categorization and agreement. Eur. Radiol. 32(12), 8256–8265 (2022)
Qi, B., Zhang, H., Zhang, X.: Time-frequency DOA estimation of chirp signals based on multi-subarray. Digit. Sig. Process. 113, 103031 (2021)
Qi, Hu., Keating, S., Innanen, K.A., Chen, H.: Direct updating of rock-physics properties using elastic full-waveform inversion. Geophysics 86(3), MR117–MR132 (2021)
Changela, A., Zaveri, M., Verma, D.: Mixed-radix, virtually scaling-free CORDIC algorithm based rotator for DSP applications. Integration 78(May), 70–83 (2021)
Kiefer, M., et al.: IMK/IAA MIPAS temperature retrieval version 8: nominal measurements. Atmos. Meas. Techn. 14(6), 4111–4138 (2021)
Hadei, S.A., Abolfazl Hosseini, S., Miri, M.: Performance analysis of the low‐complexity adaptive channel estimation algorithms over non‐stationary multipath Rayleigh fading channels under carrier frequency offsets. IET Commun. 16(9), 988–1004 (2022)
Wang, D., Zhang, S., Liu, J., Yuan, L., Gao, G.: Modified frequency-domain channel-estimation based on the dual-dependent pilots for polarization-division-multiplexed coherent optical orthogonal frequency division multiplexing systems with offset-quadrature-amplitude modulation. Opt. Eng. 61(06), 066109-1–066109-14 (2022)
Nachaoui, M., Laghrib, A., Afraites, L., et al.: A non-convex non-smooth bi-level parameter learning for impulse and Gaussian noise mixture removing. Commun. Pure Appl. Anal. 21(4), 1249–1291 (2022)
Jeong, S., Farhang, A., Perovic, N.S., Flanagan, M.F.: Low-complexity joint CFO and channel estimation for RIS-aided OFDM systems. IEEE Wirel. Commun. Lett. 11(1), 203–207 (2022)
Wang, C., Zhang, X., Li, J.: FDA-MIMO radar for DOD, DOA, and range estimation: SA-MCFO framework and RDMD algorithm. Sig. Process. 188, 108209 (2021)
Shi, Q., Liu, M., Hang, L.: A novel distribution system state estimator based on robust cubature particle filter used for non-gaussian noise and bad data scenarios. IET Gener. Transm. Distrib. 16(7), 1385–1399 (2022)
Wang, Y.Y., Yang, S.J.: Estimation of carrier frequency offset and channel state information of generalize frequency division multiplexing systems by using a Zadoff-Chu sequence. J. Franklin Inst. 359(1), 637–652 (2022)
Yaşar, C.F.: Algebraic estimator of Parkinson’s tremor frequency from biased and noisy sinusoidal signals. Trans. Inst. Measure. Control 43(3), 679–686 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wang, J. (2024). Frequency Offset Estimation of X-band Marine Radar Sampling Signal Based on Phase Difference. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-031-50546-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-50546-1_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-50545-4
Online ISBN: 978-3-031-50546-1
eBook Packages: Computer ScienceComputer Science (R0)