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Radar-Communication Integration Based on MSK-LFM Spread Spectrum Signal

DOI: 10.4236/ijcns.2017.108B012, PP. 108-117

Keywords: Radar-Communication Integration, Direct Sequence Spread Spectrum, Ambiguity Function, MSK-LFM

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Abstract:

At present, with the progress and innovation of technology, the radar communication dual function wave has become a hot research at home and abroad. Excellent integrated waveform can make full use resources of combat platform, reduce the size of equipment, and realize the actual functionality of the reality of the battle-field without affecting the radar communication func-tion. The MSK-LFM dual-function wave is a typical representative; it is based on LFM, through the MSK modulation to achieve the integration function. This paper proposes a scheme of combining the spread spectrum technology with the MSK-LFM waveform based on the previous literature. The simulation results show that the waveform envelope is more stable and the energy is more concentrated. With the introduction of spread-spectrum technology, the new waveform ambiguity function graph is much closer to the thumbtack than the traditional MSK-LFM waveform.

References

[1]  Chen, X., Wang, X., Xu, S., et al. (2011) A Novel Radar Waveform Compatible with Communication. IEEE International Con-ference on Computational Problem-Solv- ing, Chengdu, 21-23 October 2011, 177-181. https://doi.org/10.1109/ICCPS.2011.6092272
[2]  Jamil, M., Zepernick, H.J. and Pettersson, M.I. (2008) On Integrated Radar and Communication Systems Using Oppermann Sequences. 2008 IEEE Military Communications Conference, San Diego, 16-19 November 2008, 1-6. https://doi.org/10.1109/MILCOM.2008.4753277
[3]  Xu, S., Chen, B. and Zhang, P. (2006) Radar-Communication Integration Based on DSSS Techniques. IEEE International Conference on Signal Processing, 2006.
[4]  Chunjie, Z. and Na, L. (2013) Modulation Parameter Estimation and Recognition of PSK Signals. Applied Science and Technology, 5, 40-43.
[5]  Garmatyuk, D. and Schuerger, J. (2008) Conceptual Design of a Dual-Use Radar/ Communication System Based on OFDM. 2008 IEEE Military Communications Conference, San Diego, 16-19 November 2008, 1-7. https://doi.org/10.1109/MILCOM.2008.4753063
[6]  Li, X.B. (2013) Integrated Radar and Communication Based on Multicarrier Frequency Modulation Chirp Signal. Dianzi Yu Xinxi Xuebao/Journal of Electronics & Information Technology, 35, 406-412. https://doi.org/10.3724/SP.J.1146.2012.00567
[7]  Surender, S.C., Narayanan, R.M. and Das, C.R. (2010) Performance Analysis of Communications & Radar Coexistence in a Covert UWB OSA System. In: Korbicz, J., Ed., Fault Diag-nosis: Models, Artificial Intelligence, Applications, 2010 Global Communications Conference GLOBECOM 2010, Miami, Flori-da, 6-10 December 2010, Springer Science & Business Media, 1-5. https://doi.org/10.1109/GLOCOM.2010.5683837
[8]  Roberton, M. and Brown, E.R. (2003) Integrated Radar and Communications Based on Chirped Spread-Spectrum Techniques. 2003 IEEE MTT-S International Microwave Symposium Digest, Philadelphia, 8-13 June 2003, Vol. 1, 611-614. https://doi.org/10.1109/MWSYM.2003.1211013
[9]  Zhang, W. and Liu, Z. (2014) Design and Implementation of Mod-ulator of a Novel Rader Waveform Compatible with Communication. IEEE International Workshop on Microwave and Milli-meter Wave Circuits and System Technology, 2014, 357- 360.
[10]  Shahriar, C., Abdelhadi, A. and Clancy, T.C. (2015) Overlapped-MIMO Radar Waveform Design for Coexistence with Communication Systems. 2015 IEEE Wireless Communica-tions and Networking Conference, 17, 223-228. https://doi.org/10.1109/WCNC.2015.7127473
[11]  Mahafza, B.R. (2008) Radar Signal Analysis and Processing Using Matlab.

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