MIMO SAR Waveform Separation Based on Costas-LFM Signal and Co-arrays for Maritime Surveillance

LIU Feng; MU Shanxiang; LYU Wanghan; LI Wenliang; GE Ting

doi:10.1049/cje.2016.11.015

Volume 26 Issue 1

Turn off MathJax

Article Contents

Article Navigation > Chinese Journal of Electronics > 2017 > 26(1): 211-217

LIU Feng, MU Shanxiang, LYU Wanghan, et al., “MIMO SAR Waveform Separation Based on Costas-LFM Signal and Co-arrays for Maritime Surveillance,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 211-217, 2017, doi: 10.1049/cje.2016.11.015

Citation:

LIU Feng, MU Shanxiang, LYU Wanghan, et al., “MIMO SAR Waveform Separation Based on Costas-LFM Signal and Co-arrays for Maritime Surveillance,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 211-217, 2017, doi: 10.1049/cje.2016.11.015

Citation:

PDF( 549 KB)

MIMO SAR Waveform Separation Based on Costas-LFM Signal and Co-arrays for Maritime Surveillance

doi: 10.1049/cje.2016.11.015

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Funds: This work is supported by the Chinese Defense Advance Research Program of Science and Technology of China (No.403040101).

More Information

Corresponding author: MU Shanxiang (corresponding author) received the Ph.D. degree in electronic engineering from Nanjing University of Science and Technology. He is working as a professor of the same University. His research interests include the theory and system technology of phased array and high resolution radar and imaging technology. (Email:abcmsx@163.com)
Received Date: 2015-10-10
Rev Recd Date: 2016-07-29
Publish Date: 2017-01-10

Abstract

Abstract

In case of bright targets over a dark background, the cross-correlation noise of Multiple input and multiple output (MIMO) Synthetic aperture radar (SAR) orthogonal waveforms in the same frequency coverage will increase which can degrade the image. An Inter-pulse Costas hopping and intra-pulse Slope coded linearly frequency modulated (IPC-SCLFM) waveform is designed and analyzed to decrease the autocorrelation and cross-correlation noise. Besides a novel acquisition mode of "MIMO Coprime SAR" (MIMO-Cop SAR) is proposed with Coprime arrays (Co-arrays) in receive across the SAR line of flight based on digital beamforming. An improved processing by multiplying values at each pixel of two co-arrays images is proposed to suppress the cross-correlation noise. MIMO-Cop SAR can effectively suppress the cross-correlation noise, reduce the amount of data to be stored and get high signal-to-noise ratio in a simple way. The effectiveness of MIMO-Cop SAR for maritime surveillance is demonstrated by the simulation experiments.
- Multiple input and multiple output (MIMO) Synthetic aperture radar (SAR),
- Digital beamforming (DBF),
- Costas,
- Coprime arrays

FullText(HTML)

References(28)

References

G. Krieger, "MIMO-SAR:Opportunities and pitfalls", IEEE Transactions on Geoscience and Remote Sensing, Vol.52, No.5, pp.2628-2645, 2014.

J.H.G. Ender and J. Klare, "System architectures and algorithms for radar imaging by MIMO-SAR", IEEE Radar Conference, Pasadena, California, USA, pp.1-6, 2009.

W.Q. Wang, "MIMO SAR imaging:Potential and challenges", Aerospace and Electronic Systems Magazine, Vol.28, No.8, pp.18-23, 2013.

C. Xie, L.B. Wang, W.D. Wang, et al., "MIMO-SAR ground moving target imaging in HRWS mode", International Conference on Signal Processing, Hangzhou, Zhejiang, China, pp.2153-2157, 2014.

J. Wang, X.D. Liang, L.Y. Chen, et al., "A novel space-time coding scheme used for MIMO-SAR systems", IEEE Geoscience and Remote Sensing Letters, Vol.12, No.7, pp.1556-1560, 2015.

Q.S. Wu, J. Wei, M.D. Xing, et al., "Wide swath imaging with MIMO-SAR", Journal of Electronics and Information Technology, Vol.31, No.4, pp.772-775, 2009.

X.N. Zeng, J. Bai, M.L. Hao, et al., "High signal to noise ratio and high resolution wide swath imaging of MIMO-SAR based on Almouti space-time encoding", ACTA Electronica Sinica, Vol.42, No.6, pp.1186-1193, 2014. (in Chinese)

D. Cerutti-Maori, I. Sikaneta, J. Klare, et al., "MIMO SAR processing for multichannel high-resolution wide-swath radars", IEEE Transactions on Geoscience and Remote Sensing, Vol.52, No.8, pp.5034-5055, 2014.

G. Marino, D. Tarchi, V. Kyovtorov, et al., "Ground based MIMO SAR and land clutter modelling:Difficulties and guidelines", Signal Processing Symposium, Debe, Trinidad, Trinidad and Tobago, pp.1-5, 2015.

M. Villano, G. Krieger and V.D. Zoppo, "On-Board Doppler filtering for data volume reduction in spaceborne SAR systems", International Radar Symposium, Gdask, Poland, pp.1-6, 2014.

E.J. Candès, "Compressive sampling", Proceedings of the International Congress of Mathematicians, Madrid, Spain, pp.1433-1452, 2006.

D.L. Donoho, "Compressed sensing", IEEE Transactions on Information Theory, Vol.52, No.4, pp.1289-1306, 2006.

F.F. Fu, Q. Zhang, L. Chi, et al., "A Novel motion compensating method for MIMO-SAR imaging based on compressed sensing", IEEE Sensors Journal, Vol.15, No.4, pp.2157-2165, 2015.

W.Q. Wang, "MIMO SAR OFDM chirp waveform diversity design with random matrix modulation", IEEE Transactions on Geoscience and Remote Sensing, Vol.53, No.3, pp.1615-1625, 2015.

W.Q. Wang, "MIMO SAR chirp modulation diversity waveform design", IEEE Transactions on Geoscience and Remote Sensing, Vol.11, No.9, pp.1644-1648, 2014.

W.Q. Wang and J. Cai, "MIMO SAR using chirp diverse waveform for wide-swath remote sensing", IEEE Transactions on Aerospace and Electronic Systems, Vol.48, No.4, pp.3171-3185, 2012.

J.H. Kim, M. Younis, A. Moreira, et al., "A novel OFDM chirp waveform scheme for use of multiple transmitters in SAR", IEEE Geoscience and Remote Sensing Letters, Vol.10, No.4, pp.568-572, 2013.

J. Kim, J. Kim, M. Younis, et al., "A novel OFDM waveform for fully polarimetric SAR data acquisition", European Conference on Synthetic Aperture Radar, Aachen, Germany, pp.1-4, 2010.

F. He, Z. Dong and D.N. Liang, "A novel space-time coding Alamouti waveform scheme for MIMO-SAR implementation", IEEE Geoscience and Remote Sensing Letters, Vol.12, No.2, pp.229-233, 2015.

C.Z. Meng, J. Xu, X.G. Xia, et al., "MIMO-SAR waveform separation based on inter-pulse phase modulation and rangedoppler decouple filtering", Electronics Letters, Vol.49, No.6, pp.420-422, 2013.

C.Z. Meng, J. Xu, F. Liu, et al., "Multiple input and multiple output synthetic aperture radar multiple waveform separation based on oblique projection in same frequency coverage", IET Radar Sonar Navigation, Vol.9, No.8, pp.1088-1096, 2015.

C.Z. Meng, J. Xu, X.G. Xia, et al., "MIMO-SAR waveforms separation based on virtual polarization filter", Science China Information Sciences, Vol.58, No.4, pp.1-12, 2015.

G.D. Martino and A. Iodice, "Coprime synthetic aperture radar (CopSAR):A new acquisition mode for maritime surveillance", IEEE Transactions on Geoscience and Remote Sensing, Vol.53, No.6, pp.3110-3123, 2015.

L. Wang, C.X. Shang, Q. He, et al., "Super-resolution imaging realization of Costas signal", Telkomnika Indonesian Journal of Electrical Engineering, Vol.12, No.2, pp.1374-1384, 2014.

J.F. Huang, C.C. Yang and C.M. Huang, "On analyzing QuasiCyclic LDPC codes over modified Welch-Costas-Coded optical CDMA system", Journal of Lightwave Technology, Vol.27, No.12, pp.2150-2158, 2009.

M. Younis, C. Fischer and W. Wiesbeck, "Digital beamforming in SAR systems", IEEE Transactions on Geoscience and Remote Sensing, Vol.41, No.7, pp.1735-1739, 2003.

N. Gebert, G. Krieger and A. Moreira, "Digital beamforming on receive:Techniques and optimization strategies for highresolution wide-swath SAR imaging", IEEE Transactions on Aerospace and Electronic Systems, Vol.45, No.2, pp.564-592, 2009.

N. Levanon and E. Mozeson, Radar Signals, Wiley-IEEE Press, Hoboken, New Jersey, USA, pp.34-45, 2004.

Relative Articles

Supplements(0)

Cited By

Proportional views