Citation: | Chenghu CAO, Yongbo ZHAO, Zhiling SUO, Xiaojiao PANG, Baoqing XU. Doppler Frequency Estimation Method Based on Chinese Remainder Theorem with Spectrum Correction[J]. Journal of Electronics & Information Technology, 2019, 41(12): 2903-2910. doi: 10.11999/JEIT181102 |
CHUANG Tingwei, CHEN Chaur-Chin, and CHIEN Betty. Image sharing and recovering based on Chinese remainder theorem[C]. International Symposium on Computer, Consumer and Control, Xi’an, China, 2016: 817–820.
|
XIAO Hanshen, HUANG Yufeng, YE Yu, et al. Robustness in Chinese remainder theorem for multiple numbers and remainder coding[J]. IEEE Transactions on Signal Processing, 2018, 66(16): 4347–4361. doi: 10.1109/TSP.2018.2846228
|
LU Dianjun, WANG Yu, ZHANG Xiaoqin, et al. A threshold secret sharing scheme based on LMCA and Chinese remainder theorem[C]. The 9th International Symposium on Computational Intelligence and Design, Hangzhou, China, 2016: 439–442.
|
CHEN Jinrui, LIU Kesheng, YAN Xuehu, et al. An information hiding scheme based on Chinese remainder theorem[C]. The 3rd IEEE International Conference on Image, Vision and Computing, Chongqing, China, 2018: 785–790.
|
LIN E and MONTE L. Joint frequency and angle of arrival estimation using the Chinese remainder theorem[C]. 2017 IEEE Radar Conference, Seattle, USA, 2017: 1547–1551.
|
JIANG Zhibiao, WANG Jian, SONG Qian, et al. A closed-form robust Chinese remainder theorem based Multibaseline phase unwrapping[C]. 2017 International Conference on Circuits, Devices and Systems, Chengdu, China, 2017: 115–119.
|
JIANG Zhibiao, WANG Jian, SONG Qian, et al. Multibaseline phase unwrapping through robust Chinese remainder theorem[C]. The 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies, Xi’an, China, 2017: 462–466.
|
SILVA Band FRAIDENRAICH G. Performance analysis of the classic and robust Chinese remainder theorems in pulsed Doppler radars[J]. IEEE Transactions on Signal Processing, 2018, 66(18): 4898–4903. doi: 10.1109/TSP.2018.2863667
|
LI Xiaoping, WANG Wenjie, YANG Bin, et al. Distance estimation based on phase detection with robust Chinese remainder theorem[C]. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, 2014: 4204–4208.
|
WANG Qian, YAN Xiao, and QIN Kaiyu. Parameters estimation algorithm for the exponential signal by the interpolated all-phase DFT Approach[C]. The 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, Chengdu, China, 2014: 37–41.
|
王文杰, 李小平. 鲁棒的闭式中国余数定理及其在欠采样频率估计中的应用[J]. 信号处理, 2013, 29(9): 1206–1211. doi: 10.3969/j.issn.1003-0530.2013.09.017
WANG Wenjie and LI Xiaoping. The closed-form robust Chinese remainder theorem and its application in frequency estimation with Undersampling[J]. Journal of Signal Processing, 2013, 29(9): 1206–1211. doi: 10.3969/j.issn.1003-0530.2013.09.017
|
CANDAN Ç. A method for fine resolution frequency estimation from three DFT samples[J]. IEEE Signal Processing Letters, 2011, 18(6): 351–354. doi: 10.1109/LSP.2011.2136378
|
CANDAN Ç. Analysis and further improvement of fine resolution frequency estimation method from three DFT samples[J]. IEEE Signal Processing Letters, 2013, 20(9): 913–916. doi: 10.1109/LSP.2013.2273616
|
ABOUTANIOS E and MULGREW B. Iterative frequency estimation by interpolation on Fourier coefficients[J]. IEEE Transactions on Signal Processing, 2005, 53(4): 1237–1242. doi: 10.1109/TSP.2005.843719
|
BELEGA D, PETRI D, and DALLET D. Iterative sine-wave frequency estimation by generalized Fourier interpolation algorithms[C]. The 11th International Symposium on Electronics and Telecommunications, Timisoara, Romania, 2014: 1–4.
|
GAO Yue, ZHANG Xiong, and SONG Jun. Modified algorithm of sinusoid signal frequency estimation based on Quinn and Aboutanios iterative algorithms[C]. The 13th International Conference on Signal Processing, Chengdu, China, 2016: 232–235.
|
LU Xinning and ZHANG Yonghui. Phase detection algorithm and precision analysis based on all phase FFT[C]. The International Conference on Automatic Control and Artificial Intelligence, Xiamen, China, 2012: 1564–1567.
|
LI Xiaowei, LIANG Hong, and XIA Xianggen. A robust Chinese remainder theorem with its applications in frequency estimation from undersampled waveforms[J]. IEEE Transactions on Signal Processing, 2009, 57(11): 4314–4322. doi: 10.1109/TSP.2009.2025079
|
WANG Wei, LI Xiaoping, XIA Xianggen, et al. The largest dynamic range of a generalized Chinese remainder theorem for two integers[J]. IEEE Signal Processing Letters, 2015, 22(2): 254–258. doi: 10.1109/LSP.2014.2322200
|
XIAO Li, XIA Xianggen. A generalized Chinese remainder theorem for two integers[J]. IEEE Signal Processing Letters, 2014, 21(1): 55–59. doi: 10.1109/LSP.2013.2289326
|