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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiao-yan Wang Zhi-feng Zhu Shi-liang Fang |
| Copyright Year | 2007 |
| Description | Author affiliation: Southeast Univ. Nanjing, Nanjing (Xiao-yan Wang; Zhi-feng Zhu; Shi-liang Fang) |
| Abstract | Because of its high security and low probability of interception performance, DSSS-BPSK signal has been widely used in underwater acoustic engineering field. It is usually quite difficult to detect this kind of signal in noncooperative and real-time occasions. Based on the autocorrelation detection algorithm, a combination method of frequency band-divided pre-filteting and power spectrum reprocessing, which can be used to implement the real-time detection of underwater acoustic DSSS-BPSK signal, is put forward in this paper. This method can also be used to the estimation of the pseudo-random code period and chip width, and no prior knowledge of the intercepted signals is necessarily required. With frequency pre-filtering, it can not only suppress the strong ocean noise effectively, but also make the real-time detection possible via the FFT algorithm. The results of computer simulation and practical experiment have both validated the feasibility and validity of this method. |
| Starting Page | 52 |
| Ending Page | 56 |
| File Size | 887530 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424413577 |
| DOI | 10.1109/MMVIP.2007.4430714 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-12-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parameter estimation power spectrum reprocessing Acoustic signal detection Underwater tracking DSSS-BPSK Security chip width Acoustical engineering pseudo noise sequence period Spread spectrum communication Frequency Autocorrelation Underwater acoustics Power engineering and energy |
| Content Type | Text |
| Resource Type | Article |
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