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Journal articles on the topic 'Spread spectrum communications'

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Published: 4 June 2021
Last updated: 1 August 2024

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1

Campana, D., and P. Quinn. "Spread-spectrum communications." IEEE Potentials 12, no. 2 (April 1993): 13–16. http://dx.doi.org/10.1109/45.283815.

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2

Schreiber, H. H. "Spread-spectrum communications." Proceedings of the IEEE 73, no. 8 (1985): 1341–42. http://dx.doi.org/10.1109/proc.1985.13291.

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3

Sharma, G. "Spread spectrum communications." Journal of the American Society for Information Science 37, no. 4 (July 1986): 273–74. http://dx.doi.org/10.1002/(sici)1097-4571(198607)37:4<273::aid-asi16>3.0.co;2-q.

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4

Wei-Chung Peng. "Book Reviews - Spread spectrum communications." IEEE Communications Magazine 25, no. 8 (August 1987): 60–61. http://dx.doi.org/10.1109/mcom.1987.1093677.

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5

Pickholtz, R. L., L. B. Milstein, and D. L. Schilling. "Spread spectrum for mobile communications." IEEE Transactions on Vehicular Technology 40, no. 2 (May 1991): 313–22. http://dx.doi.org/10.1109/25.289412.

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6

Schilling, D. L., L. B. Milstein, R. L. Pickholtz, M. Kullback, and F. Miller. "Spread spectrum for commercial communications." IEEE Communications Magazine 29, no. 4 (April 1991): 66–79. http://dx.doi.org/10.1109/35.76560.

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7

Maskara, S. L., and S. Chakrabarti. "Spread Spectrum Communications—A Review." IETE Technical Review 10, no. 4 (July 1993): 389–98. http://dx.doi.org/10.1080/02564602.1993.11437360.

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8

Zhu, Yun Hang, Ming Yuan Deng, and Wei Bing Zhang. "Research on Detection Method of Direct Sequence Spread Spectrum Signals." Advanced Materials Research 546-547 (July 2012): 741–45. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.741.

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Direct Sequence Spread Spectrum (DSSS) Communication has been widely applied in Personal communications network, WLAN, the third-generation mobile communications, satellite communications systems, military tactics communications and etc, thanks to the DSSS signals’ strong anti-interference ability, low probability of being intercepted and outstanding multi-access communication ability. At the same time, the Problem of estimating Signals has been of great research interest with the development of wind-band weak signals processing and communication antagonism. A new effective detection method of DSSS is proposed, combined the method of wavelet transformation with cycle spectral correlation approach, from the perspective of jamming in non-cooperation condition, and a simulation result of signals--BPSK is given.
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9

Viterbi, A. J. "Spread spectrum communications: myths and realities." IEEE Communications Magazine 40, no. 5 (May 2002): 34–41. http://dx.doi.org/10.1109/mcom.2002.1006970.

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10

Austin, J., W. P. A. Ditmar, Wai Keung Lam, E. Vilar, and Kin Wa Wan. "A spread spectrum communications channel sounder." IEEE Transactions on Communications 45, no. 7 (July 1997): 840–47. http://dx.doi.org/10.1109/26.602589.

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11

De Gaudenzi, R., L. Fanucci, F. Giannetti, M. Luise, and M. Rovini. "Satellite mobile communications spread-spectrum receiver." IEEE Aerospace and Electronic Systems Magazine 18, no. 8 (August 2003): 23–30. http://dx.doi.org/10.1109/maes.2003.1224969.

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12

Tsui, T. S. D., and T. G. Clarkson. "Spread-spectrum communication techniques." Electronics & Communication Engineering Journal 6, no. 1 (February 1, 1994): 3–12. http://dx.doi.org/10.1049/ecej:19940101.

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13

Shakeel, Ismail, Jack Hilliard, Weimin Zhang, and Mark Rice. "Gaussian-Distributed Spread-Spectrum for Covert Communications." Sensors 23, no. 8 (April 18, 2023): 4081. http://dx.doi.org/10.3390/s23084081.

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Covert communication techniques play a crucial role in military and commercial applications to maintain the privacy and security of wireless transmissions from prying eyes. These techniques ensure that adversaries cannot detect or exploit the existence of such transmissions. Covert communications, also known as low probability of detection (LPD) communication, are instrumental in preventing attacks such as eavesdropping, jamming, or interference that could compromise the confidentiality, integrity, and availability of wireless communication. Direct-sequence spread-spectrum (DSSS) is a widely used covert communication scheme that expands the bandwidth to mitigate interference and hostile detection effects, reducing the signal power spectral density (PSD) to a low level. However, DSSS signals possess cyclostationary random properties that an adversary can exploit using cyclic spectral analysis to extract useful features from the transmitted signal. These features can then be used to detect and analyse the signal, making it more susceptible to electronic attacks such as jamming. To overcome this problem, a method to randomise the transmitted signal and reduce its cyclic features is proposed in this paper. This method produces a signal with a probability density function (PDF) similar to thermal noise, which masks the signal constellation to appear as thermal white noise to unintended receivers. This proposed scheme, called Gaussian distributed spread-spectrum (GDSS), is designed such that the receiver does not need to know any information about the thermal white noise used to mask the transmit signal to recover the message. The paper presents the details of the proposed scheme and investigates its performance in comparison to the standard DSSS system. This study used three detectors, namely, a high-order moments based detector, a modulation stripping detector, and a spectral correlation detector, to evaluate the detectability of the proposed scheme. The detectors were applied to noisy signals, and the results revealed that the moment-based detector failed to detect the GDSS signal with a spreading factor, N = 256 at all signal-to-noise ratios (SNRs), whereas it could detect the DSSS signals up to an SNR of −12 dB. The results obtained using the modulation stripping detector showed no significant phase distribution convergence for the GDSS signals, similar to the noise-only case, whereas the DSSS signals generated a phase distribution with a distinct shape, indicating the presence of a valid signal. Additionally, the spectral correlation detector applied to the GDSS signal at an SNR of −12 dB showed no identifiable peaks on the spectrum, providing further evidence of the effectiveness of the GDSS scheme and making it a favourable choice for covert communication applications. A semi-analytical calculation of the bit error rate is also presented for the uncoded system. The investigation results show that the GDSS scheme can generate a noise-like signal with reduced identifiable features, making it a superior solution for covert communication. However, achieving this comes at a cost of approximately 2 dB on the signal-to-noise ratio.
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14

Zhaoxia Zhang, Zhaoxia Zhang, Junjie Zhou Junjie Zhou, Dongze Zhang Dongze Zhang, Zheng Fu Zheng Fu, and Jianzhong Zhang and Jianzhong Zhang. "Chaotic-laser-based true random sequence generation for spread-spectrum communications." Chinese Journal of Lasers 39, no. 10 (2012): 1005006. http://dx.doi.org/10.3788/cjl201239.1005006.

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15

Rhodes, Charles. "Interference to digital broadband communications and spread spectrum communications." IEEE Transactions on Consumer Electronics 58, no. 1 (February 2012): 15–22. http://dx.doi.org/10.1109/tce.2012.6170050.

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16

LIPTON, J. M., and K. P. DABKE. "SPREAD SPECTRUM COMMUNICATIONS BASED ON CHAOTIC SYSTEMS." International Journal of Bifurcation and Chaos 06, no. 12a (December 1996): 2361–74. http://dx.doi.org/10.1142/s021812749600151x.

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Spread spectrum communication systems based on chaotic carrier sequences are examined for their security and robustness in the presence of noise and other interferences. Both discrete and continuous time chaotic carriers are examined and methods for determining the effectiveness of such carriers are discussed. An experimental implementation of a chaotic communication system was built and tested, and then compared with theory and the results from simulations.
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17

Lehnert, J. S. "Serial MSK spread-spectrum multiple-access communications." IEEE Transactions on Communications 40, no. 6 (June 1992): 1119–27. http://dx.doi.org/10.1109/26.142802.

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18

Woerner, B. D., and W. E. Stark. "Trellis-coded direct-sequence spread-spectrum communications." IEEE Transactions on Communications 42, no. 12 (1994): 3161–70. http://dx.doi.org/10.1109/26.339837.

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19

Moshksar, Kamyar, and Amir K. Khandani. "Decentralized Wireless Networks: Spread Spectrum Communications Revisited." IEEE Transactions on Information Theory 60, no. 5 (May 2014): 2576–93. http://dx.doi.org/10.1109/tit.2014.2310391.

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20

Kohno, R., R. Meidan, and L. B. Milstein. "Spread spectrum access methods for wireless communications." IEEE Communications Magazine 33, no. 1 (1995): 58–67. http://dx.doi.org/10.1109/35.339882.

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21

Milstein, L. B. "Interference rejection techniques in spread spectrum communications." Proceedings of the IEEE 76, no. 6 (June 1988): 657–71. http://dx.doi.org/10.1109/5.4455.

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22

Zhang, Yan. "Carrier Wave Communication System of Spread Spectrum on Colliery Underground." Advanced Materials Research 562-564 (August 2012): 1678–81. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1678.

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The paper introduces the project component of power carrier communication mode and communication system based on the spread spectrum communication theory. The methods of data transmission and spread spectrum technology applying in the coal mine communication systems are given. Paper analyzes the characteristics of signal and the feasibility of technique solutions for mine communications. The design possesses the strong practicability and operability.
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23

Stojanović, Nenad, Branislav Todorović, Vladimir Ristić, and Ivana Stojanović. "Direct sequence spread spectrum: History, principles and modern applications." Vojnotehnicki glasnik 72, no. 2 (2024): 790–813. http://dx.doi.org/10.5937/vojtehg72-49325.

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Introduction/purpose: Direct sequence spread spectrum modulation is widely used in many radiocommunications systems. At the first time, this modulation technique was used in military communications and navigation systems. Later, applications became diverse in civil communication systems as well. Today, there are many systems where direct sequence spread spectrum modulation is implemented as a part of the system. This article aims to sublimate knowledge about the direct sequence spread spectrum modulation technique and its applications. Methods: The article presents a review of the historical development of the direct sequence spread spectrum modulation technique, its principles and the most important current applications. Results: Based on a large number of references, this article summarizes the historical development, basic principles and modern applications of the direct sequence spread spectrum modulation in military and commercial communication systems. Conclusion: Direct sequence spread spectrum modulation is widely used in modern wireless and satellite radiocommunications. It is expected to be part of future global communication systems.
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24

Zhou, Liu, Nie, Yang, Zhang, and Ma. "M-ary Cyclic Shift Keying Spread Spectrum Underwater Acoustic Communications Based on Virtual Time-Reversal Mirror." Sensors 19, no. 16 (August 16, 2019): 3577. http://dx.doi.org/10.3390/s19163577.

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Underwater acoustic communications are challenging because channels are complex, and acoustic waves when propagating in the ocean are subjected to a variety of interferences, such as noise, reflections, scattering and so on. Spread spectrum technique thus has been widely used in underwater acoustic communications for its strong anti-interference ability and good confidentiality. Underwater acoustic channels are typical coherent multipath channels, in which the inter-symbol interference seriously affects the performance of underwater acoustic communications. Time-reversal mirror technique utilizes this physical characteristic of underwater acoustic channels to restrain the inter-symbol interference by reconstructing multipath signals and reduce the influence of channel fading by spatial focusing. This paper presents an M-ary cyclic shift keying spread spectrum underwater acoustic communication scheme based on the virtual time-reversal mirror. Compared to the traditional spread spectrum techniques, this method is more robust, for it uses the M-ary cyclic shift keying spread spectrum to improve the communication rate and uses the virtual time-reversal mirror to ensure a low bit error rate. The performance of this method is verified by simulations and pool experiments.
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25

Brodsky, W. "Book Reviews - Digital communications and spread spectrum systems." IEEE Communications Magazine 25, no. 9 (September 1987): 62–63. http://dx.doi.org/10.1109/mcom.1987.1093681.

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26

Akinniyi, A. R., and J. S. Lehnert. "Characterization of noncoherent spread-spectrum multiple-access communications." IEEE Transactions on Communications 42, no. 1 (1994): 139–48. http://dx.doi.org/10.1109/26.275309.

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27

Wang, Qiang, and Vijay K. Bhargava. "Spread spectrum and coding for multiple access communications." Canadian Journal of Electrical and Computer Engineering 17, no. 4 (October 1992): 167–74. http://dx.doi.org/10.1109/cjece.1992.6592503.

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28

Wong, K. K., and T. O'Farrell. "Spread spectrum techniques for indoor wireless IR communications." IEEE Wireless Communications 10, no. 2 (April 2003): 54–63. http://dx.doi.org/10.1109/mwc.2003.1196403.

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29

Rusch, L. A., and H. V. Poor. "Narrowband interference suppression in CDMA spread spectrum communications." IEEE Transactions on Communications 42, no. 2/3/4 (February 1994): 1969–79. http://dx.doi.org/10.1109/tcomm.1994.583411.

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30

Oppermann, I., P. vanRooyen, and R. Kohno. "Guest editorial spread spectrum for global communications I." IEEE Journal on Selected Areas in Communications 17, no. 12 (December 1999): 2069–73. http://dx.doi.org/10.1109/jsac.1999.814804.

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31

Oppermann, I., P. van Rooyen, and R. Kohno. "Guest editorial spread spectrum for global communications II." IEEE Journal on Selected Areas in Communications 18, no. 1 (January 2000): 1–5. http://dx.doi.org/10.1109/jsac.2000.821693.

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32

Pursley, M. B. "Direct-sequence spread-spectrum communications for multipath channels." IEEE Transactions on Microwave Theory and Techniques 50, no. 3 (March 2002): 653–61. http://dx.doi.org/10.1109/22.989950.

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33

Perez-Freire, L., and F. Perez-Gonzalez. "Spread-Spectrum Watermarking Security." IEEE Transactions on Information Forensics and Security 4, no. 1 (March 2009): 2–24. http://dx.doi.org/10.1109/tifs.2008.2009603.

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34

Liu, Lan-jun, Jian-fen Li, Lin Zhou, Peng Zhai, Hao Zhao, Jiu-cai Jin, and Zhi-chao Lv. "An underwater acoustic direct sequence spread spectrum communication system using dual spread spectrum code." Frontiers of Information Technology & Electronic Engineering 19, no. 8 (August 2018): 972–83. http://dx.doi.org/10.1631/fitee.1700746.

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35

Economou, EG. "Spread spectrum systems with commercial applications." Computer Communications 18, no. 7 (July 1995): 521. http://dx.doi.org/10.1016/0140-3664(95)90004-7.

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36

Moncunill-Geniz, F. X., P. Pala-Schonwalder, and F. del Aguila-Lopez. "New superregenerative architectures for direct-sequence spread-spectrum communications." IEEE Transactions on Circuits and Systems II: Express Briefs 52, no. 7 (July 2005): 415–19. http://dx.doi.org/10.1109/tcsii.2005.850401.

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37

Ralston, W. T., and J. A. Weitzen. "Spread spectrum multiple access for mobile meteor burst communications." IEEE Transactions on Vehicular Technology 44, no. 2 (May 1995): 280–90. http://dx.doi.org/10.1109/25.385920.

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38

Lam, A., and D. Sarwate. "Multiple-User Interference in FHMA-DPSK Spread-Spectrum Communications." IEEE Transactions on Communications 34, no. 1 (1986): 1–12. http://dx.doi.org/10.1109/tcom.1986.1096430.

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39

Geraniotis, E. "Noncoherent Hybrid DS-SFH Spread-Spectrum Multiple-Access Communications." IEEE Transactions on Communications 34, no. 9 (September 1986): 862–72. http://dx.doi.org/10.1109/tcom.1986.1096648.

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40

Lehnert, J., and M. Pursley. "Multipath Diversity Reception of Spread-Spectrum Multiple-Access Communications." IEEE Transactions on Communications 35, no. 11 (November 1987): 1189–98. http://dx.doi.org/10.1109/tcom.1987.1096708.

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41

Quintana, C., J. Rabadan, J. Rufo, F. Delgado, and R. Perez-Jimenez. "Time-hopping spread-spectrum system for wireless optical communications." IEEE Transactions on Consumer Electronics 55, no. 3 (August 2009): 1083–88. http://dx.doi.org/10.1109/tce.2009.5277960.

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42

Geraniotis, E. "Coherent Hybrid DS-SFH Spread-Spectrum Multiple-Access Communications." IEEE Journal on Selected Areas in Communications 3, no. 5 (September 1985): 695–705. http://dx.doi.org/10.1109/jsac.1985.1146249.

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43

Mazzali, Nicolo, Giulio Colavolpe, and Stefano Buzzi. "CPM-Based Spread Spectrum Systems for Multi-User Communications." IEEE Transactions on Wireless Communications 12, no. 1 (January 2013): 358–67. http://dx.doi.org/10.1109/twc.2012.120412.120583.

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44

Vlachos, T., and E. Geraniotis. "Performance study of hybrid spread-spectrum random-access communications." IEEE Transactions on Communications 39, no. 6 (June 1991): 975–85. http://dx.doi.org/10.1109/26.87187.

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45

Sherlock, Benjamin, Jeffrey A. Neasham, and Charalampos C. Tsimenidis. "Spread-Spectrum Techniques for Bio-Friendly Underwater Acoustic Communications." IEEE Access 6 (2018): 4506–20. http://dx.doi.org/10.1109/access.2018.2790478.

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46

Cianca, Ernestina, and Ramjee Prasad. "Spread Spectrum Techniques and their Applications to Wireless Communications." IETE Journal of Research 51, no. 1 (January 2005): 5–18. http://dx.doi.org/10.1080/03772063.2005.11416373.

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47

Milstein, L., and R. Iltis. "Signal processing for interference rejection in spread spectrum communications." IEEE ASSP Magazine 3, no. 2 (1986): 18–31. http://dx.doi.org/10.1109/massp.1986.1165359.

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48

Aromaa, S., P. Henttu, and M. Juntti. "Transform-selective interference suppression algorithm for spread-spectrum communications." IEEE Signal Processing Letters 12, no. 1 (January 2005): 49–51. http://dx.doi.org/10.1109/lsp.2004.839703.

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49

Takehara, Kazuyuki. "Spread spectrum communication demodulator using SAW devices." Electronics and Communications in Japan (Part I: Communications) 75, no. 5 (1992): 75–84. http://dx.doi.org/10.1002/ecja.4410750508.

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50

Endo, Kaoru, Tadashi Nakamura, Soichi Tsumura, and Shichiro Tsuruta. "Spread spectrum communication method for power line." Electronics and Communications in Japan (Part I: Communications) 75, no. 6 (1992): 50–63. http://dx.doi.org/10.1002/ecja.4410750605.

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