MIMO Radar Orthogonal Waveform Set Design Based on Chirp Durations

LI Hui; ZHAO Yongbo; CHENG Zengfei

doi:10.11999/JEIT170426

Volume 40 Issue 5

May 2018

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LI Hui, ZHAO Yongbo, CHENG Zengfei. MIMO Radar Orthogonal Waveform Set Design Based on Chirp Durations[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1151-1158. doi: 10.11999/JEIT170426

Citation:

LI Hui, ZHAO Yongbo, CHENG Zengfei. MIMO Radar Orthogonal Waveform Set Design Based on Chirp Durations[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1151-1158. doi: 10.11999/JEIT170426

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MIMO Radar Orthogonal Waveform Set Design Based on Chirp Durations

doi: 10.11999/JEIT170426

1.
(National Key Laboratory of Radar Signal Processing, Xidian University, Xi&rsquo
2.

Received Date: 2017-05-09
Rev Recd Date: 2018-01-30
Publish Date: 2018-05-19

Abstract

Abstract

Due to the large time-bandwidth product, Linear Frequency Modulation (LFM) signals are widely used, and their diversity can be applied to orthogonal waveform set design for MIMO radar. To solve the problems of the correlation functions of the existing waveforms, detailed analysis is made, a new waveform based on chirp durations is proposed, and the orthogonal waveform set design method is given subsequently. Peak sidelobe level is calculated for the cost function, the chirp durations of subpulses are optimized by Sequential Quadratic Programming (SQP). Simulation results show that the designed waveforms have lower autocorrelation sidelobe level and crosscorrelation level compared with the present method. In addition, relationships among autocorrelation sidelobe level, crosscorrelation level and the size of orthogonal waveforms are studied via numerical experiments.
- MIMO radar,
- Orthogonal waveform design,
- Linear Frequency Modulation (LFM),
- Large time-bandwidth product

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References(22)

References

FISHLER E, HAIMOVICH A, BLUM R, et al. MIMO radar: An idea whose time has come[C]. Proceedings of IEEE Radar Conference, Philadelphia, PA, 2004: 71-78. doi: 10.1109/ NRC.2004.1316398.

LI J and STOICA P. MIMO radar with colocated antennas [J]. IEEE Signal Processing Magazine, 2007, 24(5): 106-114. doi: 10.1109/MSP.2007.904812.

FRIEDLANDER B. On signal models for MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(4): 3655-3660. doi: 10.1109/TAES.2012.6324753.

LIU H W, ZHOU S H, SU H T, et al. Detection performance of spatial-frequency diversity MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(4): 3137-3155. doi: 10.1109/TAES.2013.120040.

DENG H. Polyphase code design for the orthogonal netted radar systems[J]. IEEE Transactions on Signal Processing, 2004, 52(11): 3126-3135. doi: 10.1109/TSP.2004.836530.

HE H, STOICA P, and LI J. Designing unimodular sequence sets with good correlations: Including an application to MIMO radar[J]. IEEE Transactions on Signal Processing, 2009, 57(11): 4391-4405. doi: 10.1109/TSP.2009.2025108.

胡亮兵, 刘宏伟, 吴顺君. 基于约束非线性规划的MIMO雷达正交波形设计[J]. 系统工程与电子技术, 2011, 33(1): 64-68. doi: 10.3969/j.issn.1001-506X.2011.01.13.

HU Liangbing, LIU Hongwei, and WU Shunjun. Orthogonal waveform design for MIMO radar via constrained nonlinear programming[J]. Systems Engineering and Electronics, 2011, 33(1): 64-68. doi: 10.3969/j.issn.1001-506X.2011.01.13.

ZHAO D H and WEI Y S. Adaptive gradient search for optimal sidelobe design of hopped-frequency waveform[J]. IET Radar, Sonar Navigation, 2014, 8(4): 282-289. doi: 10.1049/iet-rsn.2013.0035.

SONG J X, BABU P, and PALOMAR D P. Sequence set design with good correlation properties via majorization- minimization[J]. IEEE Transactions on Signal Processing, 2016, 64(11): 2866-2879. doi: 10.1109/TSP.2016.2535312.

DENG H, GENG Z, and HIMED B. MIMO radar waveform design for transmit beamforming and orthogonality[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(3): 1421-1433. doi: 10.1109/TAES.2016.140023.

HONG S, ZENG J, YAN M S, et al. A waveform optimization method for the spatial synthesized phase-coded OFDM signal in MIMO radars[C]. Proceedings of 2016 CIE International Conference on Radar, Guangzhou, 2016: 10-13. doi: 10.1109/RADAR.2016.8059563.

LIU B. Orthogonal discrete frequency-coding waveform set design with minimized autocorrelation sidelobes[J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(4): 1650-1657. doi: 10.1109/TAES.2009.5310326.

GAO C C, TEH K C, and LIU A F. Orthogonal frequency diversity waveform with range-Doppler optimization for MIMO Radar[J]. IEEE Signal Processing Letters, 2014, 21(10): 1201-1205. doi: 10.1109/LSP.2014.2329944.

CHENG S J, WANG W Q, and SHAO H Z. Spread spectrum-coded OFDM chirp waveform diversity design[J]. IEEE Sensors Journal, 2015, 15(10): 5694-5700. doi: 10.1109 /JSEN.2015.2448617.

LIN Z B and WANG Z B. Interleaved OFDM signals for MIMO radar[J]. IEEE Sensors Journal, 2015, 15(11): 6294-6305. doi: 10.1109/JSEN.2015.2458178.

WANG W Q. MIMO SAR OFDM chirp waveform diversity design with random matrix modulation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(3): 1615-1625. doi: 10.1109/TGRS.2014.2346478.

KIM J, YOUNIS M, MOREIRA A, et al. A novel OFDM chirp waveform scheme for use of multiple transmitters in SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(3): 568-572. doi: 10.1109/LGRS.2012.2213577.

KIM J, YOUNIS M, MOREIRA A, et al. Spaceborne MIMO synthetic aperture radar for multimodal operation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(5): 2453-2466. doi: 10.1109/TGRS.2014.2360148.

GAO C C, TEH K C, LIU A F, et al. Piecewise LFM waveform for MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(2): 590-602. doi: 10.1109/TAES.2015.140033.

WANG W Q. Large time-bandwidth product MIMO radar waveform design based on chirp rate diversity[J]. IEEE Sensors Journal, 2015, 15(2): 1027-1034. doi: 10.1109/JSEN. 2014.2360125.

RAU N. Optimization Principles: Practical Applications to the Operation and Markets of the Electric Power Industry [M]. Wiley-IEEE Press eBook Chapters, 2003: 177-243. doi: 10.1109/9780470545454.part3.

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