@inproceedings{b21ad8602c57488aae29be43f8982893,
title = "Parameter estimation of non-modulated or modulated Frequency-Hopping signals",
abstract = "It is a very effective way to use time-frequency distribution to analyze the Frequency-Hopping (FH) signals. There are a variety of time-frequency analysis methods, in which wavelet transform's time-frequency distribution of the signal is very sensitive to noise, and Wigner-Ville distribution has a good time-frequency aggregation but the presence of severe crosstalk analysis of multi-component signals. Classic STFT is a good time-frequency tools, but cannot obtain a higher time resolution and frequency resolution at the same time. In this paper, the classical STFT algorithm is improved to work well in lower SNR by using image processing, and further improve time resolution at the same time combined with the differential frequency discrimination in high SNR. Experimental results show that reasonable input parameters will improve the performance of frequency hopping signal parameter estimation.",
keywords = "Estimation, Frequency-Hopping, STFT",
author = "Zhang Qin and Liu Yanhui and Zhang Xinxiang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 ; Conference date: 05-08-2016 Through 08-08-2016",
year = "2016",
month = nov,
day = "22",
doi = "10.1109/ICSPCC.2016.7753691",
language = "English",
series = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
address = "United States",
}